{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T20:16:14Z","timestamp":1762028174875,"version":"build-2065373602"},"reference-count":29,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Journal Armed Forces India"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1016\/j.mjafi.2025.02.007","type":"journal-article","created":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T07:30:50Z","timestamp":1744097450000},"page":"649-657","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial intelligence driven diagnostic model for detecting paranasal sinus opacification in computed tomography images: Development and evaluation"],"prefix":"10.1016","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9179-9628","authenticated-orcid":false,"given":"Anubhav","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6920-9687","authenticated-orcid":false,"given":"Kamal Deep","family":"Joshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4050-3951","authenticated-orcid":false,"given":"Sachin","family":"Girdhar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2360-4627","authenticated-orcid":false,"given":"Dharamendra","family":"Kumar Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rakesh","family":"Datta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abhipsa","family":"Hota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Poonam","family":"Raj","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suraj","family":"Thapa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/j.mjafi.2025.02.007_bib1","doi-asserted-by":"crossref","first-page":"1218","DOI":"10.1002\/alr.22588","article-title":"Volumetric assessment of paranasal sinus opacification on computed tomography can be automated using a convolutional neural network","volume":"10","author":"Humphries","year":"2020","journal-title":"Int Forum Allergy Rhinol"},{"issue":"1150","key":"10.1016\/j.mjafi.2025.02.007_bib2","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20221031","article-title":"Clinical applications of artificial intelligence in radiology","volume":"96","author":"Mello-Thoms","year":"2023","journal-title":"Br J Radiol"},{"issue":"11","key":"10.1016\/j.mjafi.2025.02.007_bib3","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1016\/j.jacr.2020.08.016","article-title":"Workflow applications of artificial intelligence in radiology and an overview of available tools","volume":"17","author":"Kapoor","year":"2020","journal-title":"J Am Coll Radiol"},{"issue":"1","key":"10.1016\/j.mjafi.2025.02.007_bib4","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1177\/01945998221110076","article-title":"The evolution and application of artificial intelligence in rhinology: a state of the art review","volume":"169","author":"Amanian","year":"2023","journal-title":"Otolaryngol - Head Neck Surg U S."},{"issue":"4","key":"10.1016\/j.mjafi.2025.02.007_bib5","doi-asserted-by":"crossref","first-page":"326","DOI":"10.21053\/ceo.2020.00654","article-title":"Recent advances in the application of artificial intelligence in otorhinolaryngology-head and neck surgery","volume":"13","author":"Tama","year":"2020","journal-title":"Clin Exp Otorhinolaryngol"},{"issue":"4","key":"10.1016\/j.mjafi.2025.02.007_bib6","doi-asserted-by":"crossref","first-page":"2153","DOI":"10.1007\/s00405-023-08424-9","article-title":"Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging","volume":"281","author":"Cheong","year":"2024","journal-title":"Eur Arch Otorhinolaryngol"},{"issue":"1","key":"10.1016\/j.mjafi.2025.02.007_bib7","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1002\/alr.22196","article-title":"Automated classification of osteomeatal complex inflammation on computed tomography using convolutional neural networks","volume":"9","author":"Chowdhury","year":"2019","journal-title":"Int Forum Allergy Rhinol"},{"issue":"4","key":"10.1016\/j.mjafi.2025.02.007_bib8","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1017\/S0022215120000444","article-title":"An artificial intelligence algorithm that identifies middle turbinate pneumatisation (concha bullosa) on sinus computed tomography scans","volume":"134","author":"Parmar","year":"2020","journal-title":"J Laryngol Otol"},{"issue":"6","key":"10.1016\/j.mjafi.2025.02.007_bib9","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1111\/coa.14088","article-title":"An artificial intelligence algorithm for the classification of sphenoid sinus pneumatisation on sinus computed tomography scans","volume":"48","author":"Taylor","year":"2023","journal-title":"Clin Otolaryngol"},{"key":"10.1016\/j.mjafi.2025.02.007_bib10","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","author":"Collins","year":"2024","journal-title":"BMJ"},{"key":"10.1016\/j.mjafi.2025.02.007_bib11","unstructured":"Horos Project. Published online April 19, 2021. Accessed June 1, 2024. https:\/\/horosproject.org\/download-horos\/."},{"key":"10.1016\/j.mjafi.2025.02.007_bib12","unstructured":"Kawamura R. RectLabel pro on the Mac App store. Accessed July 1, 2024. https:\/\/apps.apple.com\/us\/app\/rectlabel-pro\/id1490990105?mt=12."},{"issue":"5","key":"10.1016\/j.mjafi.2025.02.007_bib13","doi-asserted-by":"crossref","first-page":"708","DOI":"10.3109\/02841859609177704","article-title":"CT findings in general practice patients with suspected acute sinusitis","volume":"37","author":"Lindb\u00e6k","year":"1996","journal-title":"Acta Radiol"},{"issue":"4","key":"10.1016\/j.mjafi.2025.02.007_bib14","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.carj.2019.06.002","article-title":"Sample-size determination methodologies for machine learning in medical imaging research: a systematic review","volume":"70","author":"Balki","year":"2019","journal-title":"Can Assoc Radiol J"},{"key":"10.1016\/j.mjafi.2025.02.007_bib15","unstructured":"Create ML - machine learning. Accessed September 1, 2024. https:\/\/developer.apple.com\/machine-learning\/create-ml\/."},{"key":"10.1016\/j.mjafi.2025.02.007_bib16","doi-asserted-by":"crossref","first-page":"57815","DOI":"10.1109\/ACCESS.2024.3386826","article-title":"A comprehensive systematic review of YOLO for medical object detection (2018 to 2023)","volume":"12","author":"Ragab","year":"2024","journal-title":"IEEE Access"},{"key":"10.1016\/j.mjafi.2025.02.007_bib17","series-title":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","first-page":"237","article-title":"A survey on performance metrics for object-detection algorithms","author":"Padilla","year":"2020"},{"issue":"3","key":"10.1016\/j.mjafi.2025.02.007_bib18","doi-asserted-by":"crossref","DOI":"10.1148\/ryai.2021200126","article-title":"Magician's corner: 9. Performance metrics for machine learning models","volume":"3","author":"Erickson","year":"2021","journal-title":"Radiol Artif Intell."},{"key":"10.1016\/j.mjafi.2025.02.007_bib19","series-title":"Artificial Intelligence Applications for Health Care","first-page":"1","article-title":"A survey of machine learning in healthcare","author":"Sathyanarayanan","year":"2022"},{"issue":"4","key":"10.1016\/j.mjafi.2025.02.007_bib20","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1016\/j.anl.2024.04.003","article-title":"Machine learning application in otology","volume":"51","author":"Koyama","year":"2024","journal-title":"Auris Nasus Larynx"},{"issue":"4","key":"10.1016\/j.mjafi.2025.02.007_bib21","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1038\/s42256-021-00305-2","article-title":"Code-free deep learning for multi-modality medical image classification","volume":"3","author":"Korot","year":"2021","journal-title":"Nat Mach Intell"},{"key":"10.1016\/j.mjafi.2025.02.007_bib22","article-title":"Teachable machine: approachable web-based tool for exploring machine learning classification","author":"Carney","year":"2020","journal-title":"Conf Hum Factors Comput Syst - Proc"},{"key":"10.1016\/j.mjafi.2025.02.007_bib23","unstructured":"Xcode on the Mac App store. Accessed September 15, 2024. https:\/\/apps.apple.com\/us\/app\/xcode\/id497799835?mt=12\/."},{"key":"10.1016\/j.mjafi.2025.02.007_bib24","series-title":"Computational Science \u2013 ICCS 2024. Vol 14836. Lecture Notes in Computer Science","first-page":"35","article-title":"Exploring Apple silicon's potential from simulation and optimization perspective","author":"Struniawski","year":"2024"},{"issue":"4","key":"10.1016\/j.mjafi.2025.02.007_bib25","doi-asserted-by":"crossref","first-page":"2071","DOI":"10.1007\/s11831-021-09649-9","article-title":"A survey on deep learning approaches to medical images and a systematic Look up into real-time object detection","volume":"29","author":"Kaur","year":"2022","journal-title":"Arch Comput Methods Eng"},{"issue":"5","key":"10.1016\/j.mjafi.2025.02.007_bib26","article-title":"Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases","volume":"17","author":"Ortiz Castell\u00f3","year":"2020","journal-title":"Int J Adv Rob Syst"},{"key":"10.1016\/j.mjafi.2025.02.007_bib27","unstructured":"Suzuki K. Vision detector on the app store. Accessed December 24, 2024. https:\/\/apps.apple.com\/in\/app\/vision-detector\/id6443729650."},{"key":"10.1016\/j.mjafi.2025.02.007_bib28","doi-asserted-by":"crossref","unstructured":"Apple\/coremltools. Published online December 24, 2024. Accessed December 24, 2024. https:\/\/github.com\/apple\/coremltools.","DOI":"10.2307\/jj.8948646.16"},{"issue":"2","key":"10.1016\/j.mjafi.2025.02.007_bib29","doi-asserted-by":"crossref","first-page":"e188","DOI":"10.7861\/fhj.2021-0095","article-title":"Artificial intelligence in healthcare: transforming the practice of medicine","volume":"8","author":"Bajwa","year":"2021","journal-title":"Future Healthc J"}],"container-title":["Medical Journal Armed Forces India"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0377123725000425?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0377123725000425?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T20:12:13Z","timestamp":1762027933000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0377123725000425"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":29,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["S0377123725000425"],"URL":"https:\/\/doi.org\/10.1016\/j.mjafi.2025.02.007","relation":{},"ISSN":["0377-1237"],"issn-type":[{"type":"print","value":"0377-1237"}],"subject":[],"published":{"date-parts":[[2025,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence driven diagnostic model for detecting paranasal sinus opacification in computed tomography images: Development and evaluation","name":"articletitle","label":"Article Title"},{"value":"Medical Journal Armed Forces India","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mjafi.2025.02.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Director General, Armed Forces Medical Services. Published by Elsevier, a division of RELX India Pvt. Ltd.","name":"copyright","label":"Copyright"}]}}