{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:10:03Z","timestamp":1763388603517,"version":"3.45.0"},"reference-count":62,"publisher":"S.C. JURNALUL PENTRU MEDICINA SI VIATA S.R.L","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.25122\/jml-2025-0120","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:04:18Z","timestamp":1763388258000},"page":"732-744","source":"Crossref","is-referenced-by-count":0,"title":["Revolution or routine? Comparing AI and traditional imaging in thoracic surgery outcomes: a systematic review"],"prefix":"10.25122","volume":"18","author":[{"given":"Liviu","family":"Oltean","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Carol Davila University of Medicine and Pharmacy, Bucharest, Romania","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raluca","family":"Oltean","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Carol Davila University of Medicine and Pharmacy, Bucharest, Romania","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreea","family":"Nelson Twakor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Department of Internal Medicine, County Clinical Emergency Hospital, Constanta, Romania","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teodor","family":"Horvat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Carol Davila University of Medicine and Pharmacy, Bucharest, Romania","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Department of Thoracic Surgery, Prof. Dr. Al. Trestioreanu Bucharest Oncological Institute, Bucharest, Romania","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10755","reference":[{"issue":"12","key":"ref1","doi-asserted-by":"publisher","first-page":"e50942","DOI":"10.7759\/cureus.50942","article-title":"Challenges and Solutions in Postoperative Complications: A Narrative Review in General Surgery","volume":"15","author":"Javed H, Olanrewaju OA, Ansah Owusu F, Saleem A, Pavani P, Tariq H","year":"2023","unstructured":"1. Javed H, Olanrewaju OA, Ansah Owusu F, Saleem A, Pavani P, Tariq H, Challenges and Solutions in Postoperative Complications: A Narrative Review in General Surgery, Cureus, 2023;15(12):e50942","journal-title":"Cureus"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"213","DOI":"10.3389\/fnhum.2019.00213","article-title":"Analysis of Perceptual Expertise in Radiology-Current Knowledge and a New Perspective","volume":"13","author":"Waite S, Grigorian A, Alexander RG, Macknik SL, Carrasco M, Heeger DJ","year":"2019","unstructured":"2. Waite S, Grigorian A, Alexander RG, Macknik SL, Carrasco M, Heeger DJ, Analysis of Perceptual Expertise in Radiology-Current Knowledge and a New Perspective, Front Hum Neurosci, 2019;13213","journal-title":"Front Hum Neurosci"},{"issue":"4","key":"ref3","doi-asserted-by":"publisher","first-page":"100179","DOI":"10.1016\/j.xinn.2021.100179","article-title":"Artificial intelligence: A powerful paradigm for scientific research","volume":"2","author":"Xu Y, Liu X, Cao X, Huang C, Liu E, Qian S","year":"2021","unstructured":"3. Xu Y, Liu X, Cao X, Huang C, Liu E, Qian S, Artificial intelligence: A powerful paradigm for scientific research, Innovation (Camb), 2021;2(4):100179","journal-title":"Innovation (Camb)"},{"issue":"12","key":"ref4","doi-asserted-by":"publisher","first-page":"1435","DOI":"10.3390\/bioengineering10121435","article-title":"How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications","volume":"10","author":"Pinto-Coelho L","year":"2023","unstructured":"4. Pinto-Coelho L, How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications, Bioengineering (Basel), 2023;10(12):1435","journal-title":"Bioengineering (Basel)"},{"issue":"2","key":"ref5","doi-asserted-by":"publisher","first-page":"125","DOI":"10.3390\/healthcare12020125","article-title":"Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives","volume":"12","author":"Bekbolatova M, Mayer J, Ong CW, Toma M","year":"2024","unstructured":"5. Bekbolatova M, Mayer J, Ong CW, Toma M, Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives, Healthcare (Basel), 2024;12(2):125","journal-title":"Healthcare (Basel)"},{"issue":"1","key":"ref6","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1186\/s13012-024-01357-9","article-title":"Generative AI in healthcare: an implementation science informed translational path on application, integration and governance","volume":"19","author":"Reddy S","year":"2024","unstructured":"6. Reddy S, Generative AI in healthcare: an implementation science informed translational path on application, integration and governance, Implement Sci, 2024;19(1):27","journal-title":"Implement Sci"},{"key":"ref7","author":"Scientific Image and Illustration Software | BioRender (nd.-b)","unstructured":"7. Scientific Image and Illustration Software | BioRender (nd.-b), https:\/\/www.biorender.com\/."},{"issue":"8","key":"ref8","doi-asserted-by":"publisher","first-page":"e43262","DOI":"10.7759\/cureus.43262","article-title":"Unraveling the Ethical Enigma: Artificial Intel-ligence in Healthcare","volume":"15","author":"Jeyaraman M, Balaji S, Jeyaraman N, Yadav S","year":"2023","unstructured":"8. Jeyaraman M, Balaji S, Jeyaraman N, Yadav S, Unraveling the Ethical Enigma: Artificial Intel-ligence in Healthcare, Cureus, 2023;15(8):e43262","journal-title":"Cureus"},{"issue":"11","key":"ref9","doi-asserted-by":"publisher","first-page":"e49252","DOI":"10.7759\/cureus.49252","article-title":"Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare","volume":"15","author":"Yelne S, Chaudhary M, Dod K, Sayyad A, Sharma R","year":"2023","unstructured":"9. Yelne S, Chaudhary M, Dod K, Sayyad A, Sharma R, Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare, Cureus, 2023;15(11):e49252","journal-title":"Cureus"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1177\/0008125619864925","article-title":"A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence","volume":"61","author":"Haenlein M, Kaplan A","year":"2019","unstructured":"10. Haenlein M, Kaplan A, A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence, Calif Manag Rev, 2019;615-14","journal-title":"Calif Manag Rev"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"e48009","DOI":"10.2196\/48009","article-title":"Ethical Considerations of Using ChatGPT in Health Care","volume":"25","author":"Wang C, Liu S, Yang H, Guo J, Wu Y, Liu J","year":"2023","unstructured":"11. Wang C, Liu S, Yang H, Guo J, Wu Y, Liu J, Ethical Considerations of Using ChatGPT in Health Care, J Med Internet Res, 2023;25e48009","journal-title":"J Med Internet Res"},{"issue":"11","key":"ref12","doi-asserted-by":"publisher","first-page":"e49756","DOI":"10.7759\/cureus.49756","article-title":"Leveraging Artificial Intelligence and Machine Learning in Regenerative Orthopedics: A Paradigm Shift in Patient Care","volume":"15","author":"Jeyaraman M, Ratna HVK, Jeyaraman N, Venkatesan A, Ramasubramanian S, Yadav S","year":"2023","unstructured":"12. Jeyaraman M, Ratna HVK, Jeyaraman N, Venkatesan A, Ramasubramanian S, Yadav S, Leveraging Artificial Intelligence and Machine Learning in Regenerative Orthopedics: A Paradigm Shift in Patient Care, Cureus, 2023;15(11):e49756","journal-title":"Cureus"},{"issue":"12","key":"ref13","doi-asserted-by":"publisher","first-page":"1995","DOI":"10.3390\/diagnostics13121995","article-title":"Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review","volume":"13","author":"Stafie CS, Sufaru IG, Ghiciuc CM, Stafie II, Sufaru EC, Solomon SM","year":"2023","unstructured":"13. Stafie CS, Sufaru IG, Ghiciuc CM, Stafie II, Sufaru EC, Solomon SM, Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review, Diagnostics (Basel), 2023;13(12):1995","journal-title":"Diagnostics (Basel)"},{"issue":"1","key":"ref14","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1186\/s12967-024-05067-0","article-title":"Tribulations and future opportunities for artificial intelligence in precision medicine","volume":"22","author":"Carini C, Seyhan AA","year":"2024","unstructured":"14. Carini C, Seyhan AA, Tribulations and future opportunities for artificial intelligence in precision medicine, J Transl Med, 2024;22(1):411","journal-title":"J Transl Med"},{"issue":"11","key":"ref15","doi-asserted-by":"publisher","first-page":"1914","DOI":"10.3390\/jpm12111914","article-title":"Ethical Conundrums in the Application of Artificial Intelligence (AI) in Healthcare-A Scoping Review of Reviews","volume":"12","author":"Prakash S, Balaji JN, Joshi A, Surapaneni KM","year":"2022","unstructured":"15. Prakash S, Balaji JN, Joshi A, Surapaneni KM, Ethical Conundrums in the Application of Artificial Intelligence (AI) in Healthcare-A Scoping Review of Reviews, J Pers Med, 2022;12(11):1914","journal-title":"J Pers Med"},{"issue":"12","key":"ref16","doi-asserted-by":"publisher","first-page":"1435","DOI":"10.3390\/bioengineering10121435","article-title":"How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications","volume":"10","author":"Pinto-Coelho L","year":"2023","unstructured":"16. Pinto-Coelho L, How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications, Bioengineering (Basel), 2023;10(12):1435","journal-title":"Bioengineering (Basel)"},{"issue":"1","key":"ref17","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1097\/RCT.0000000000001247","article-title":"Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities","volume":"46","author":"Moawad AW, Fuentes DT, ElBanan MG, Shalaby AS, Guccione J, Kamel S","year":"2022","unstructured":"17. Moawad AW, Fuentes DT, ElBanan MG, Shalaby AS, Guccione J, Kamel S, Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities, J Comput Assist Tomogr, 2022;46(1):78-90","journal-title":"J Comput Assist Tomogr"},{"issue":"5","key":"ref18","doi-asserted-by":"publisher","first-page":"513","DOI":"10.14670\/HH-18-561","article-title":"Morphopathological features induced by SARS-CoV-2 infection-a series of 57 autopsies","volume":"38","author":"Deacu M, Enciu M, Nicolau AA, B\u0103l\u0163\u0103tescu GI, Neculai-C\u00e2ndea LS, Deacu S","year":"2023","unstructured":"18. Deacu M, Enciu M, Nicolau AA, B\u0103l\u0163\u0103tescu GI, Neculai-C\u00e2ndea LS, Deacu S, Morphopathological features induced by SARS-CoV-2 infection-a series of 57 autopsies, Histol Histopathol, 2023;38(5):513-524","journal-title":"Histol Histopathol"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-024-03097-w","article-title":"Neuroimage analysis using artificial intelligence approaches: a systematic review","author":"Bacon EJ, He D, Achi NAD, Wang L, Li H, Yao-Digba PDZ","year":"2024","unstructured":"19. Bacon EJ, He D, Achi NAD, Wang L, Li H, Yao-Digba PDZ, Neuroimage analysis using artificial intelligence approaches: a systematic review, Med Biol Eng Comput, 2024;","journal-title":"Med Biol Eng Comput"},{"key":"ref20","doi-asserted-by":"publisher","first-page":"b2700","DOI":"10.1136\/bmj.b2700","article-title":"The PRISMA statement for reporting systematic reviews and me-ta-analyses of studies that evaluate healthcare interventions: explanation and elaboration","volume":"339","author":"Liberati A, Altman DG, Tetzlaff J, Mulrow C, G\u00f8tzsche PC, Ioannidis JP","year":"2009","unstructured":"20. Liberati A, Altman DG, Tetzlaff J, Mulrow C, G\u00f8tzsche PC, Ioannidis JP, The PRISMA statement for reporting systematic reviews and me-ta-analyses of studies that evaluate healthcare interventions: explanation and elaboration, BMJ, 2009;339b2700","journal-title":"BMJ"},{"issue":"11","key":"ref21","doi-asserted-by":"publisher","first-page":"1052","DOI":"10.1001\/jama.2020.0592","article-title":"Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial","volume":"323","author":"Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P","year":"2020","unstructured":"21. Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial, JAMA, 2020;323(11):1052-1060","journal-title":"JAMA"},{"issue":"6","key":"ref22","doi-asserted-by":"publisher","first-page":"1811","DOI":"10.1016\/j.athoracsur.2019.09.049","article-title":"Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery","volume":"109","author":"Kilic A, Goyal A, Miller JK, Gjekmarkaj E, Tam WL, Gleason TG","year":"2020","unstructured":"22. Kilic A, Goyal A, Miller JK, Gjekmarkaj E, Tam WL, Gleason TG, Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery, Ann Thorac Surg, 2020;109(6):1811-1819","journal-title":"Ann Thorac Surg"},{"issue":"2 Pt 1","key":"ref23","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1016\/j.jcmg.2019.02.024","article-title":"A Deep Learning Ap-proach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images","volume":"13","author":"Kusunose K, Abe T, Haga A, Fukuda D, Yamada H, Harada M, Sata M","year":"2020","unstructured":"23. Kusunose K, Abe T, Haga A, Fukuda D, Yamada H, Harada M, Sata M, A Deep Learning Ap-proach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images, JACC Cardiovasc Imaging, 2020;13(2 Pt 1):374-381","journal-title":"JACC Cardiovasc Imaging"},{"issue":"1","key":"ref24","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1148\/radiol.2018180237","article-title":"Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs","volume":"290","author":"Nam JG, Park S, Hwang EJ, Lee JH, Jin KN, Lim KY","year":"2019","unstructured":"24. Nam JG, Park S, Hwang EJ, Lee JH, Jin KN, Lim KY, Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs, Radiology, 2019;290(1):218-228","journal-title":"Radiology"},{"issue":"2","key":"ref25","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1093\/ejcts\/ezab422","article-title":"A scoping review of artificial intelligence applications in thoracic surgery","volume":"61","author":"Seastedt KP, Moukheiber D, Mahindre SA, Thammineni C, Rosen DT, Watkins AA","year":"2022","unstructured":"25. Seastedt KP, Moukheiber D, Mahindre SA, Thammineni C, Rosen DT, Watkins AA, A scoping review of artificial intelligence applications in thoracic surgery, Eur J Cardiothorac Surg, 2022;61(2):239-248","journal-title":"Eur J Cardiothorac Surg"},{"issue":"2","key":"ref26","doi-asserted-by":"publisher","first-page":"93","DOI":"10.4323\/rjlm.2022.93","article-title":"Electrofishing electrocution: case study in forensic medicine","volume":"30","author":"Popa M, Mihai M, Deacu S, Vasile M, Nicolescu A, Halichidis S","year":"2022","unstructured":"26. Popa M, Mihai M, Deacu S, Vasile M, Nicolescu A, Halichidis S, Electrofishing electrocution: case study in forensic medicine, Rom J Leg Med, 2022;30(2):93-99","journal-title":"Rom J Leg Med"},{"key":"ref27","doi-asserted-by":"publisher","first-page":"104251","DOI":"10.1016\/j.amsu.2022.104251","article-title":"The future of Cardiothoracic surgery in Artificial intelligence","volume":"80","author":"Mumtaz H, Saqib M, Ansar F, Zargar D, Hameed M, Hasan M","year":"2022","unstructured":"27. Mumtaz H, Saqib M, Ansar F, Zargar D, Hameed M, Hasan M, The future of Cardiothoracic surgery in Artificial intelligence, Ann Med Surg (Lond), 2022;80104251","journal-title":"Ann Med Surg (Lond)"},{"issue":"1","key":"ref28","doi-asserted-by":"publisher","first-page":"7035","DOI":"10.1038\/s41598-024-57700-z","article-title":"A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm","volume":"14","author":"Zhou CM, Xue Q, Li H, Yang JJ, Zhu Y","year":"2024","unstructured":"28. Zhou CM, Xue Q, Li H, Yang JJ, Zhu Y, A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm, Sci Rep, 2024;14(1):7035","journal-title":"Sci Rep"},{"key":"ref29","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.amjcard.2023.09.079","article-title":"Machine Learning for Predicting Postoperative Atrial Fibrillation After Cardiac Surgery: A Scoping Review of Current Literature","volume":"209","author":"El-Sherbini AH, Shah A, Cheng R, Elsebaie A, Harby AA, Redfearn D, El-Diasty M","year":"2023","unstructured":"29. El-Sherbini AH, Shah A, Cheng R, Elsebaie A, Harby AA, Redfearn D, El-Diasty M, Machine Learning for Predicting Postoperative Atrial Fibrillation After Cardiac Surgery: A Scoping Review of Current Literature, Am J Cardiol, 2023;20966-75","journal-title":"Am J Cardiol"},{"issue":"17","key":"ref30","doi-asserted-by":"publisher","first-page":"2760","DOI":"10.3390\/diagnostics13172760","article-title":"Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging","volume":"13","author":"Najjar R","year":"2023","unstructured":"30. Najjar R, Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging, Diagnostics (Basel), 2023;13(17):2760","journal-title":"Diagnostics (Basel)"},{"issue":"9 Pt B","key":"ref31","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1016\/j.jacr.2019.05.047","article-title":"Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology","volume":"16","author":"Mart\u00edn Noguerol T, Paulano-Godino F, Mart\u00edn-Valdivia MT, Menias CO, Luna A","year":"2019","unstructured":"31. Mart\u00edn Noguerol T, Paulano-Godino F, Mart\u00edn-Valdivia MT, Menias CO, Luna A, Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology, J Am Coll Radiol, 2019;16(9 Pt B):1239-1247","journal-title":"J Am Coll Radiol"},{"issue":"18","key":"ref32","doi-asserted-by":"publisher","first-page":"4361","DOI":"10.3390\/cancers14184361","article-title":"Are Routine Chest X-rays Necessary following Thoracic Surgery? A Systematic Literature Review and Meta-Analysis","volume":"14","author":"Galata C, Cascant Ortolano L, Shafiei S, Hetjens S, M\u00fcller L, Stauber RH","year":"2022","unstructured":"32. Galata C, Cascant Ortolano L, Shafiei S, Hetjens S, M\u00fcller L, Stauber RH, Are Routine Chest X-rays Necessary following Thoracic Surgery? A Systematic Literature Review and Meta-Analysis, Cancers (Basel), 2022;14(18):4361","journal-title":"Cancers (Basel)"},{"issue":"4","key":"ref33","doi-asserted-by":"publisher","first-page":"853","DOI":"10.3390\/biomedicines13040853","article-title":"Epigenetic Symphony in Diffuse Large B-Cell Lymphoma: Orchestrating the Tumor Microenvironment","volume":"13","author":"Caloian AD, Cristian M, Calin E, Pricop AR, Mociu SI, Seicaru L","year":"2025","unstructured":"33. Caloian AD, Cristian M, Calin E, Pricop AR, Mociu SI, Seicaru L, Epigenetic Symphony in Diffuse Large B-Cell Lymphoma: Orchestrating the Tumor Microenvironment, Biomedicines, 2025;13(4):853","journal-title":"Biomedicines"},{"issue":"3","key":"ref34","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1016\/j.athoracsur.2020.10.019","article-title":"Chest Ultrasound Can Reduce the Use of Roentgenograms in Postoperative Care After Thoracic Surgery","volume":"112","author":"Mal\u00edk M, Dzian A, Skali\u010danov\u00e1 M, Hamada \u0139, Zele\u0148\u00e1k K, Grend\u00e1r M","year":"2021","unstructured":"34. Mal\u00edk M, Dzian A, Skali\u010danov\u00e1 M, Hamada \u0139, Zele\u0148\u00e1k K, Grend\u00e1r M, Chest Ultrasound Can Reduce the Use of Roentgenograms in Postoperative Care After Thoracic Surgery, Ann Thorac Surg, 2021;112(3):897-904","journal-title":"Ann Thorac Surg"},{"key":"ref35","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1186\/s43057-024-00124-2","article-title":"Chest ultrasound to detect postoperative pulmonary complications after thoracic surgery: a comparative study","volume":"32","author":"Elabdein AZ, Hassan RA, Elhaish MK, Elkhayat H","year":"2024","unstructured":"35. Elabdein AZ, Hassan RA, Elhaish MK, Elkhayat H, Chest ultrasound to detect postoperative pulmonary complications after thoracic surgery: a comparative study, Cardiothorac Surg, 2024;326","journal-title":"Cardiothorac Surg"},{"issue":"18","key":"ref36","doi-asserted-by":"publisher","first-page":"2995","DOI":"10.3390\/diagnostics13182995","article-title":"Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?","volume":"13","author":"Mal\u00edk M, Dzian A, \u0160tev\u00edk M, Vete\u0161kov\u00e1 \u0160, Al Hakim A, Hlibok\u00fd M","year":"2023","unstructured":"36. Mal\u00edk M, Dzian A, \u0160tev\u00edk M, Vete\u0161kov\u00e1 \u0160, Al Hakim A, Hlibok\u00fd M, Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?, Systematic Review. Diagnostics, 2023;13(18):2995","journal-title":"Systematic Review. Diagnostics"},{"issue":"10","key":"ref37","doi-asserted-by":"publisher","first-page":"e0276502","DOI":"10.1371\/journal.pone.0276502","article-title":"Ultrasonography can replace chest X-rays in the postoperative care of thoracic surgical patients","volume":"17","author":"J Jakobson D, Cohen O, Cherniavsky E, Batumsky M, Fuchs L, Yellin A","year":"2022","unstructured":"37. J Jakobson D, Cohen O, Cherniavsky E, Batumsky M, Fuchs L, Yellin A, Ultrasonography can replace chest X-rays in the postoperative care of thoracic surgical patients, PLoS One, 2022;17(10):e0276502","journal-title":"PLoS One"},{"issue":"9","key":"ref38","doi-asserted-by":"publisher","first-page":"2646","DOI":"10.3390\/cancers15092646","article-title":"Diagnostic Value of FDG PET\/CT in Surveillance after Curative Resection of Breast Cancer","volume":"15","author":"Lee H, Choi JY, Park YH, Lee JE, Kim SW, Nam SJ","year":"2023","unstructured":"38. Lee H, Choi JY, Park YH, Lee JE, Kim SW, Nam SJ, Diagnostic Value of FDG PET\/CT in Surveillance after Curative Resection of Breast Cancer, Cancers (Basel), 2023;15(9):2646","journal-title":"Cancers (Basel)"},{"issue":"19","key":"ref39","doi-asserted-by":"publisher","first-page":"2245","DOI":"10.1200\/JCO.23.02475","article-title":"Surveillance Imaging After Curative-Intent Treatment for Cancer: Benefits, Harms, and Evidence","volume":"42","author":"Wilson BE, Wright K, Koven R, Booth CM","year":"2024","unstructured":"39. Wilson BE, Wright K, Koven R, Booth CM, Surveillance Imaging After Curative-Intent Treatment for Cancer: Benefits, Harms, and Evidence, J Clin Oncol, 2024;42(19):2245-2249","journal-title":"J Clin Oncol"},{"issue":"4","key":"ref40","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3892\/ol.2020.11936","article-title":"Contrast-enhanced ultrasound for needle biopsy of thoracic lesions","volume":"20","author":"Liang J, Wang D, Li H, Zhao S, Chen M, Li H","year":"2020","unstructured":"40. Liang J, Wang D, Li H, Zhao S, Chen M, Li H, Contrast-enhanced ultrasound for needle biopsy of thoracic lesions, Oncol Lett, 2020;20(4):75","journal-title":"Oncol Lett"},{"issue":"12","key":"ref41","doi-asserted-by":"publisher","first-page":"1837","DOI":"10.1007\/s10439-022-02998-x","article-title":"In-frared Thermographic Imaging of Chest Wall Perfusion in Patients Undergoing Coronary Artery Bypass Grafting","volume":"50","author":"Rasche S, Kleiner C, M\u00fcller J, Rost A, Ghazy T, Pl\u00f6tze K","year":"2022","unstructured":"41. Rasche S, Kleiner C, M\u00fcller J, Rost A, Ghazy T, Pl\u00f6tze K, In-frared Thermographic Imaging of Chest Wall Perfusion in Patients Undergoing Coronary Artery Bypass Grafting, Ann Biomed Eng, 2022;50(12):1837-1845","journal-title":"Ann Biomed Eng"},{"issue":"10","key":"ref42","doi-asserted-by":"publisher","first-page":"e11137","DOI":"10.7759\/cureus.11137","article-title":"Is Artificial Intelligence the New Friend for Radi-ologists? A Review Article","volume":"12","author":"Gampala S, Vankeshwaram V, Gadula SSP","year":"2020","unstructured":"42. Gampala S, Vankeshwaram V, Gadula SSP, Is Artificial Intelligence the New Friend for Radi-ologists? A Review Article, Cureus, 2020;12(10):e11137","journal-title":"Cureus"},{"key":"ref43","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.ejmp.2021.02.006","article-title":"AI applications to medical images: From machine learning to deep learning","volume":"83","author":"Castiglioni I, Rundo L, Codari M, Di Leo G, Salvatore C, Interlenghi M","year":"2021","unstructured":"43. Castiglioni I, Rundo L, Codari M, Di Leo G, Salvatore C, Interlenghi M, AI applications to medical images: From machine learning to deep learning, Phys Med, 2021;839-24","journal-title":"Phys Med"},{"issue":"6","key":"ref44","doi-asserted-by":"publisher","first-page":"e62683","DOI":"10.7759\/cureus.62683","article-title":"Exploring the Impact of Artificial Intelligence and Machine Learning in the Diagnosis and Management of Esthesioneuroblastomas: A Comprehensive Review","volume":"16","author":"Patel R, Masys T, Baridi R","year":"2024","unstructured":"44. Patel R, Masys T, Baridi R, Exploring the Impact of Artificial Intelligence and Machine Learning in the Diagnosis and Management of Esthesioneuroblastomas: A Comprehensive Review, Cureus, 2024;16(6):e62683","journal-title":"Cureus"},{"issue":"5","key":"ref45","doi-asserted-by":"publisher","first-page":"e59507","DOI":"10.7759\/cureus.59507","article-title":"Deep Learning Approaches for Medical Image Analysis and Diagnosis","volume":"16","author":"Thakur GK, Thakur A, Kulkarni S, Khan N, Khan S","year":"2024","unstructured":"45. Thakur GK, Thakur A, Kulkarni S, Khan N, Khan S, Deep Learning Approaches for Medical Image Analysis and Diagnosis, Cureus, 2024;16(5):e59507","journal-title":"Cureus"},{"issue":"4","key":"ref46","doi-asserted-by":"publisher","first-page":"e59171","DOI":"10.7759\/cureus.59171","article-title":"From Pixels to Prognosis: A Narrative Review on Artificial Intelligence's Pioneering Role in Colorectal Carcinoma Histopathology","volume":"16","author":"Naseri S, Shukla S, Hiwale KM, Jagtap MM, Gadkari P, Gupta K","year":"2024","unstructured":"46. Naseri S, Shukla S, Hiwale KM, Jagtap MM, Gadkari P, Gupta K, From Pixels to Prognosis: A Narrative Review on Artificial Intelligence's Pioneering Role in Colorectal Carcinoma Histopathology, Cureus, 2024;16(4):e59171","journal-title":"Cureus"},{"issue":"3","key":"ref47","doi-asserted-by":"publisher","first-page":"e56317","DOI":"10.7759\/cureus.56317","article-title":"Rogue AI: Cautionary Cases in Neuroradiology and What We Can Learn From Them","volume":"16","author":"Young A, Tan K, Tariq F, Jin MX, Bluestone AY","year":"2024","unstructured":"47. Young A, Tan K, Tariq F, Jin MX, Bluestone AY, Rogue AI: Cautionary Cases in Neuroradiology and What We Can Learn From Them, Cureus, 2024;16(3):e56317","journal-title":"Cureus"},{"issue":"11","key":"ref48","doi-asserted-by":"publisher","first-page":"8263","DOI":"10.1007\/s00330-023-09747-1","article-title":"Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography","volume":"33","author":"Bernstein MH, Atalay MK, Dibble EH, Maxwell AWP, Karam AR, Agarwal S","year":"2023","unstructured":"48. Bernstein MH, Atalay MK, Dibble EH, Maxwell AWP, Karam AR, Agarwal S, Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography, Eur Radiol, 2023;33(11):8263-8269","journal-title":"Eur Radiol"},{"issue":"1","key":"ref49","doi-asserted-by":"publisher","first-page":"5645","DOI":"10.1038\/s41467-021-26023-2","article-title":"Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams","volume":"12","author":"Shen Y, Shamout FE, Oliver JR, Witowski J, Kannan K, Park J","year":"2021","unstructured":"49. Shen Y, Shamout FE, Oliver JR, Witowski J, Kannan K, Park J, Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams, Nat Commun, 2021;12(1):5645","journal-title":"Nat Commun"},{"issue":"7639","key":"ref50","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks","volume":"542","author":"Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S","year":"2017","unstructured":"50. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S, Dermatologist-level classification of skin cancer with deep neural networks, Nature, 2017;542(7639):115-118","journal-title":"Nature"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1711.05225","article-title":"CheXNet: radiologist-level pneumonia detection on chest X-rays with deep learning","author":"Rajpurkar P, Irvin J, Zhu K, Yang B, Mehta H, Duan T","year":"2017","unstructured":"51. Rajpurkar P, Irvin J, Zhu K, Yang B, Mehta H, Duan T, CheXNet: radiologist-level pneumonia detection on chest X-rays with deep learning, arXiv [Preprint], 2017;","journal-title":"arXiv [Preprint]"},{"issue":"1","key":"ref52","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s13244-016-0534-1","article-title":"Error and discrepancy in radiology: inevitable or avoidable?","volume":"8","author":"Brady AP","year":"2017","unstructured":"52. Brady AP, Error and discrepancy in radiology: inevitable or avoidable?, Insights Imaging, 2017;8(1):171-182","journal-title":"Insights Imaging"},{"issue":"1","key":"ref53","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1186\/s13244-023-01521-7","article-title":"Diagnostic error and bias in the department of radiology: a pictorial essay","volume":"14","author":"Zhang L, Wen X, Li JW, Jiang X, Yang XF, Li M","year":"2023","unstructured":"53. Zhang L, Wen X, Li JW, Jiang X, Yang XF, Li M, Diagnostic error and bias in the department of radiology: a pictorial essay, Insights Imaging, 2023;14(1):163","journal-title":"Insights Imaging"},{"issue":"1","key":"ref54","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","article-title":"High-performance medicine: the convergence of human and artificial intelligence","volume":"25","author":"Topol EJ","year":"2019","unstructured":"54. Topol EJ, High-performance medicine: the convergence of human and artificial intelligence, Nat Med, 2019;25(1):44-56","journal-title":"Nat Med"},{"issue":"13","key":"ref55","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1056\/NEJMp1606181","article-title":"Predicting the Future-Big Data, Machine Learning, and Clinical Medicine","volume":"375","author":"Obermeyer Z, Emanuel EJ","year":"2016","unstructured":"55. Obermeyer Z, Emanuel EJ, Predicting the Future-Big Data, Machine Learning, and Clinical Medicine, N Engl J Med, 2016;375(13):1216-9","journal-title":"N Engl J Med"},{"issue":"22","key":"ref56","doi-asserted-by":"publisher","first-page":"2400","DOI":"10.1001\/jama.2012.5960","article-title":"Use of diagnostic imaging studies and associated radiation exposure for patients enrolled in large integrated health care systems, 1996-2010","volume":"307","author":"Smith-Bindman R, Miglioretti DL, Johnson E, Lee C, Feigelson HS, Flynn M","year":"2012","unstructured":"56. Smith-Bindman R, Miglioretti DL, Johnson E, Lee C, Feigelson HS, Flynn M, Use of diagnostic imaging studies and associated radiation exposure for patients enrolled in large integrated health care systems, 1996-2010, JAMA, 2012;307(22):2400-9","journal-title":"JAMA"},{"issue":"22","key":"ref57","doi-asserted-by":"publisher","first-page":"2277","DOI":"10.1056\/NEJMra072149","article-title":"Computed tomography--an increasing source of radiation exposure","volume":"357","author":"Brenner DJ, Hall EJ","year":"2007","unstructured":"57. Brenner DJ, Hall EJ, Computed tomography--an increasing source of radiation exposure, N Engl J Med, 2007;357(22):2277-84","journal-title":"N Engl J Med"},{"issue":"6429","key":"ref58","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1126\/science.aaw0029","article-title":"Regulation of predictive analytics in medicine","volume":"363","author":"Parikh RB, Obermeyer Z, Navathe AS","year":"2019","unstructured":"58. Parikh RB, Obermeyer Z, Navathe AS, Regulation of predictive analytics in medicine, Science, 2019;363(6429):810-812","journal-title":"Science"},{"issue":"1","key":"ref59","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1186\/s12911-020-01332-6","article-title":"Explainability for artificial intelligence in healthcare: a multidisciplinary perspective","volume":"20","author":"Amann J, Blasimme A, Vayena E, Frey D, Madai VI, Precise4Q consortium","year":"2020","unstructured":"59. Amann J, Blasimme A, Vayena E, Frey D, Madai VI, Precise4Q consortium, Explainability for artificial intelligence in healthcare: a multidisciplinary perspective, BMC Med Inform Decis Mak, 2020;20(1):310","journal-title":"BMC Med Inform Decis Mak"},{"issue":"22","key":"ref60","doi-asserted-by":"publisher","first-page":"2078","DOI":"10.1001\/archinternmed.2009.427","article-title":"Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer","volume":"169","author":"Smith-Bindman R, Lipson J, Marcus R, Kim KP, Mahesh M, Gould R","year":"2009","unstructured":"60. Smith-Bindman R, Lipson J, Marcus R, Kim KP, Mahesh M, Gould R, Radiation dose associated with common computed tomography examinations and the associated lifetime attributable risk of cancer, Arch Intern Med, 2009;169(22):2078-86","journal-title":"Arch Intern Med"},{"issue":"22","key":"ref61","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1001\/jama.2016.17216","article-title":"Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs","volume":"316","author":"Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A","year":"2016","unstructured":"61. Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs, JAMA, 2016;316(22):2402-2410","journal-title":"JAMA"},{"issue":"7788","key":"ref62","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1038\/s41586-019-1799-6","article-title":"International evaluation of an AI system for breast cancer screening","volume":"577","author":"McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H","year":"2020","unstructured":"62. McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H, International evaluation of an AI system for breast cancer screening, Nature, 2020;577(7788):89-94","journal-title":"Nature"}],"container-title":["Journal of Medicine and Life"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/medandlife.org\/all-issues\/2025\/issue-8-2025\/review-issue-8-2025\/revolution-or-routine-comparing-ai-and-traditional-imaging-in-thoracic-surgery-outcomes-a-systematic-review\/","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:04:26Z","timestamp":1763388266000},"score":1,"resource":{"primary":{"URL":"https:\/\/medandlife.org\/all-issues\/2025\/issue-8-2025\/review-issue-8-2025\/revolution-or-routine-comparing-ai-and-traditional-imaging-in-thoracic-surgery-outcomes-a-systematic-review\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":62,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2025,8]]}},"alternative-id":["JMedLife-18-732"],"URL":"https:\/\/doi.org\/10.25122\/jml-2025-0120","relation":{},"ISSN":["1844-3117"],"issn-type":[{"value":"1844-3117","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}