{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T01:16:40Z","timestamp":1713489400694},"reference-count":21,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,17]]},"DOI":"10.7759\/cureus.58496","type":"journal-article","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T03:24:01Z","timestamp":1713410641000},"source":"Crossref","is-referenced-by-count":0,"title":["The Evaluation of Artificial Intelligence Technology for the Differentiation of Fresh Human Blood Cells From Other Species Blood in the Investigation of Crime Scenes"],"prefix":"10.7759","author":[{"given":"Syed Sajid Hussain","family":"Shah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ekramy","family":"Elmorsy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rashad Qasem Ali","family":"Othman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asmara","family":"Syed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syed Umar","family":"Armaghan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syed Usama","family":"Khalid Bokhari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud E","family":"Elmorsy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdulhakim","family":"Bawadekji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.saa.2021.120533","article-title":"Hierarchical classification models and handheld NIR spectrometer to human blood stains identification on different floor tiles","volume":"267","author":"Fonseca AC","year":"2022","unstructured":"Fonseca AC, Pereira JF, Honorato RS, Bro R, Pimentel MF. Hierarchical classification models and handheld NIR spectrometer to human blood stains identification on different floor tiles. Spectrochim Acta A Mol Biomol Spectrosc. 2022, 267:120533. 10.1016\/j.saa.2021.120533","journal-title":"Spectrochim Acta A Mol Biomol Spectrosc"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00414-017-1691-6","article-title":"Comprehensive examination of conventional and innovative body fluid identification approaches and DNA profiling of laundered blood- and saliva-stained pieces of cloths","volume":"132","author":"Kulstein G","year":"2018","unstructured":"Kulstein G, Wiegand P. Comprehensive examination of conventional and innovative body fluid identification approaches and DNA profiling of laundered blood- and saliva-stained pieces of cloths. Int J Legal Med. 2018, 132:67-81. 10.1007\/s00414-017-1691-6","journal-title":"Int J Legal Med"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/00450618.2016.1237545","article-title":"You can\u2019t hide encoded evidence: DNA recovery from different fabrics after washing","volume":"50","author":"Salahuddin Z","year":"2018","unstructured":"Salahuddin Z, Yasir Zahoor M, Kalsoom S, Rakha A. You can\u2019t hide encoded evidence: DNA recovery from different fabrics after washing. Aust J Forensic Sci. 2018, 50:355-60. 10.1080\/00450618.2016.1237545","journal-title":"Aust J Forensic Sci"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s42004-020-00424-8","article-title":"Discrimination between human and animal blood by attenuated total reflection Fourier transform-infrared spectroscopy","volume":"3","author":"Mistek-Morabito E","year":"2020","unstructured":"Mistek-Morabito E, Lednev IK. Discrimination between human and animal blood by attenuated total reflection Fourier transform-infrared spectroscopy. Commun Chem. 2020, 3:178. 10.1038\/s42004-020-00424-8","journal-title":"Commun Chem"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2017.11.033","article-title":"Differentiation of human blood from animal blood using Raman spectroscopy: a survey of forensically relevant species","volume":"282","author":"Doty KC","year":"2018","unstructured":"Doty KC, Lednev IK. Differentiation of human blood from animal blood using Raman spectroscopy: a survey of forensically relevant species. Forensic Sci Int. 2018, 282:204-10. 10.1016\/j.forsciint.2017.11.033","journal-title":"Forensic Sci Int"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1186\/s42269-021-00600-3","article-title":"Human identification from washed blood stains","volume":"45","author":"\u00dcnsal Sapan T","year":"2021","unstructured":"\u00dcnsal Sapan T, Erdo\u011fan IT, Atasoy S. Human identification from washed blood stains. Bul Natl Res Cent. 2021, 45:1-3. 10.1186\/s42269-021-00600-3","journal-title":"Bul Natl Res Cent"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1557\/mrs2010.571","article-title":"Shape and biomechanical characteristics of human red blood cells in health and disease","volume":"35","author":"Diez-Silva M","year":"2010","unstructured":"Diez-Silva M, Dao M, Han J, Lim CT, Suresh S. Shape and biomechanical characteristics of human red blood cells in health and disease. MRS Bull. 2010, 35:382-8. 10.1557\/mrs2010.571","journal-title":"MRS Bull"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.14202\/vetworld.2016.960-963","article-title":"Species determination using the red blood cells morphometry in domestic animals","volume":"9","author":"Adili N","year":"2016","unstructured":"Adili N, Melizi M, Belabbas H. Species determination using the red blood cells morphometry in domestic animals. Vet World. 2016, 9:960-3. 10.14202\/vetworld.2016.960-963","journal-title":"Vet World"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1177\/00258172221145782","article-title":"Mapping homicide by 3-D modelling of bloodstain patterns at crime scene","volume":"91","author":"Kislov MA","year":"2023","unstructured":"Kislov MA, Chauhan M, Khanna SK, et al.. Mapping homicide by 3-D modelling of bloodstain patterns at crime scene. Med Leg J. 2023, 91:109-12. 10.1177\/00258172221145782","journal-title":"Med Leg J"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.4132\/jptm.2018.12.16","article-title":"Artificial intelligence in pathology","volume":"53","author":"Chang HY","year":"2019","unstructured":"Chang HY, Jung CK, Woo JI, Lee S, Cho J, Kim SW, Kwak TY. Artificial intelligence in pathology. J Pathol Transl Med. 2019, 53:1-12. 10.4132\/jptm.2018.12.16","journal-title":"J Pathol Transl Med"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4103\/2153-3539.186902","article-title":"Deep learning for digital pathology image analysis: a comprehensive tutorial with selected use cases","volume":"7","author":"Janowczyk A","year":"2016","unstructured":"Janowczyk A, Madabhushi A. Deep learning for digital pathology image analysis: a comprehensive tutorial with selected use cases. J Pathol Inform. 2016, 7:29. 10.4103\/2153-3539.186902","journal-title":"J Pathol Inform"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21037\/tcr.2018.05.02","article-title":"The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review","volume":"7","author":"Vial A","year":"2018","unstructured":"Vial A, Stirling D, Field M, et al.. The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review. Transl Cancer Res. 2018, 7:803-16. 10.21037\/tcr.2018.05.02","journal-title":"Transl Cancer Res"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2017.18.4.570","article-title":"Deep learning in medical imaging: general overview","volume":"18","author":"Lee JG","year":"2017","unstructured":"Lee JG, Jun S, Cho YW, et al.. Deep learning in medical imaging: general overview. Korean J Radiol. 2017, 18:570-584. 10.3348\/kjr.2017.18.4.570","journal-title":"Korean J Radiol"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0217702","article-title":"Radiomics and machine learning of multisequence multiparametric prostate MRI: towards improved non-invasive prostate cancer characterization","volume":"14","author":"Toivonen J","year":"2019","unstructured":"Toivonen J, Montoya Perez I, Movahedi P, et al.. Radiomics and machine learning of multisequence multiparametric prostate MRI: towards improved non-invasive prostate cancer characterization. PLoS One. 2019, 14:e0217702. 10.1371\/journal.pone.0217702","journal-title":"PLoS One"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0508-1","article-title":"Clinical-grade computational pathology using weakly supervised deep learning on whole slide images","volume":"25","author":"Campanella G","year":"2019","unstructured":"Campanella G, Hanna MG, Geneslaw L, et al.. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat Med. 2019, 25:1301-9. 10.1038\/s41591-019-0508-1","journal-title":"Nat Med"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0177-5","article-title":"Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning","volume":"24","author":"Coudray N","year":"2018","unstructured":"Coudray N, Ocampo PS, Sakellaropoulos T, et al.. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nat Med. 2018, 24:1559-67. 10.1038\/s41591-018-0177-5","journal-title":"Nat Med"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.4328\/ACAM.20105","article-title":"Machine learning approaches for the histopathological diagnosis of prostatic hyperplasia","volume":"11","author":"Khalid SU","year":"2020","unstructured":"Khalid SU, Syed A, Shah SSH. Machine learning approaches for the histopathological diagnosis of prostatic hyperplasia. Ann Clin Anal Med. 2020, 11:425-8. 10.4328\/ACAM.20105","journal-title":"Ann Clin Anal Med"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1101\/2020.07.14.20152116","article-title":"The assessment of computer vision algorithms for the diagnosis of prostatic adenocarcinoma in surgical specimens","volume":"12","author":"Bukhari SUK","year":"2021","unstructured":"Bukhari SUK, Mehtab U, Hussain SS, Armaghan SU, Syed A, Shah SSH. The assessment of computer vision algorithms for the diagnosis of prostatic adenocarcinoma in surgical specimens. Ann Clin Anal Med. 2021, 12:31-4. 10.1101\/2020.07.14.20152116","journal-title":"Ann Clin Anal Med"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.4328\/ACAM.20226","article-title":"The efficiency of deep learning for the diagnosis of psammomatous meningioma","volume":"12","author":"Bukhari SUK","year":"2021","unstructured":"Bukhari SUK, Syed A, Bokhari SKA, Shah SSH. The efficiency of deep learning for the diagnosis of psammomatous meningioma. Ann Clin Anal Med. 2021, 12:153-6. 10.4328\/ACAM.20226","journal-title":"Ann Clin Anal Med"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4328\/ACAM.20287","article-title":"The application of artificial intelligence for the detection of chorionic villi in the biopsy specimens","volume":"12","author":"Bukhari SUK","year":"2021","unstructured":"Bukhari SUK, Bokhari SKA , Mehtab U, Syed A, Shah SSH. The application of artificial intelligence for the detection of chorionic villi in the biopsy specimens. Ann Clin Anal Med. 2021, 12:358-61. 10.4328\/ACAM.20287","journal-title":"Ann Clin Anal Med"},{"key":"ref21","article-title":"Haematological indices, size of erythrocytes and haemoglobin saturation in broiler chickens kept in commercial conditions","volume":"30","author":"Nowaczewski S","year":"2012","unstructured":"Nowaczewski S, Kontecka H. Haematological indices, size of erythrocytes and haemoglobin saturation in broiler chickens kept in commercial conditions. Anim Sci Pap Rep. 2012, 30:181-90.","journal-title":"Anim Sci Pap Rep"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/246156-the-evaluation-of-artificial-intelligence-technology-for-the-differentiation-of-fresh-human-blood-cells-from-other-species-blood-in-the-investigation-of-crime-scenes","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T03:24:04Z","timestamp":1713410644000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/246156-the-evaluation-of-artificial-intelligence-technology-for-the-differentiation-of-fresh-human-blood-cells-from-other-species-blood-in-the-investigation-of-crime-scenes"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,17]]},"references-count":21,"URL":"https:\/\/doi.org\/10.7759\/cureus.58496","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4,17]]}}}