{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T19:45:51Z","timestamp":1762371951929,"version":"build-2065373602"},"reference-count":11,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,5]]},"DOI":"10.7759\/cureus.96154","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T19:41:43Z","timestamp":1762371703000},"source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence in the Diagnosis of Cholesteatoma: A Systematic Review of Current Evidence"],"prefix":"10.7759","author":[{"given":"Shaqra M","family":"Shabi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lama B","family":"Almutairi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdulkarim N","family":"Moafa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahaf A","family":"Omer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed M","family":"Alghamdi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hussam S","family":"Alhemaidi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanouf H","family":"Alhamyani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aws A","family":"Abualiat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atallah A","family":"Alamdi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marwan S","family":"Alkhaibari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Layla H","family":"Al Khairat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.5152\/iao.2023.221004","article-title":"Comparison of computed tomography-based artificial intelligence modeling and magnetic resonance imaging in diagnosis of cholesteatoma","volume":"19","author":"Ero\u011flu O","year":"2023","unstructured":"Ero\u011flu O, Ero\u011flu Y, Y\u0131ld\u0131r\u0131m M, et al.. Comparison of computed tomography-based artificial intelligence modeling and magnetic resonance imaging in diagnosis of cholesteatoma. J Int Adv Otol. 2023, 19:342-9.","journal-title":"J Int Adv Otol"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0273915","article-title":"Preoperative prediction by artificial intelligence for mastoid extension in pars flaccida cholesteatoma using temporal bone high-resolution computed tomography: a retrospective study","volume":"17","author":"Takahashi M","year":"2022","unstructured":"Takahashi M, Noda K, Yoshida K, et al.. Preoperative prediction by artificial intelligence for mastoid extension in pars flaccida cholesteatoma using temporal bone high-resolution computed tomography: a retrospective study. PLoS One. 2022, 17:e0273915. 10.1371\/journal.pone.0273915","journal-title":"PLoS One"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.26355\/eurrev_202301_30874","article-title":"How advantageous is it to use computed tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?","volume":"27","author":"Ayral M","year":"2023","unstructured":"Ayral M, T\u00fcrk \u00d6, Can \u015e, Esen D, Top\u00e7u I, Akil F, Temiz H. How advantageous is it to use computed tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?. Eur Rev Med Pharmacol Sci. 2023, 27:215-23. 10.26355\/eurrev_202301_30874","journal-title":"Eur Rev Med Pharmacol Sci"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/lio2.1008","article-title":"Use of artificial intelligence for the diagnosis of cholesteatoma","volume":"8","author":"Tseng CC","year":"2023","unstructured":"Tseng CC, Lim V, Jyung RW. Use of artificial intelligence for the diagnosis of cholesteatoma. Laryngoscope Investig Otolaryngol. 2023, 8:201-11. 10.1002\/lio2.1008","journal-title":"Laryngoscope Investig Otolaryngol"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2196\/51706","article-title":"A 3D and explainable artificial intelligence model for evaluation of chronic otitis media based on temporal bone computed tomography: model development, validation, and clinical application","volume":"26","author":"Chen B","year":"2024","unstructured":"Chen B, Li Y, Sun Y, et al.. A 3D and explainable artificial intelligence model for evaluation of chronic otitis media based on temporal bone computed tomography: model development, validation, and clinical application. J Med Internet Res. 2024, 26:e51706. 10.2196\/51706","journal-title":"J Med Internet Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.83503","article-title":"Evaluating partial middle ear filling for the diagnosis of cholesteatoma using machine learning: a radiological approach","volume":"17","author":"Ouattassi N","year":"2025","unstructured":"Ouattassi N, Zoizou A, Maaroufi M, et al.. Evaluating partial middle ear filling for the diagnosis of cholesteatoma using machine learning: a radiological approach. Cureus. 2025, 17:e83503. 10.7759\/cureus.83503","journal-title":"Cureus"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.n71","article-title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","volume":"372","author":"Page MJ","year":"2021","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, et al.. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021, 372:n71. 10.1136\/bmj.n71","journal-title":"BMJ"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6947-7-16","article-title":"Utilization of the PICO framework to improve searching PubMed for clinical questions","volume":"7","author":"Schardt C","year":"2007","unstructured":"Schardt C, Adams MB, Owens T, Keitz S, Fontelo P. Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Mak. 2007, 7:16. 10.1186\/1472-6947-7-16","journal-title":"BMC Med Inform Decis Mak"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-155-8-201110180-00009","article-title":"QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies","volume":"155","author":"Whiting PF","year":"2011","unstructured":"Whiting PF, Rutjes AW, Westwood ME, et al.. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011, 155:529-36. 10.7326\/0003-4819-155-8-201110180-00009","journal-title":"Ann Intern Med"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1136\/bmj-2024-082505","article-title":"PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods","volume":"388","author":"Moons KG","year":"2025","unstructured":"Moons KG, Damen JA, Kaul T, et al.. PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods. BMJ. 2025, 388:e082505. 10.1136\/bmj-2024-082505","journal-title":"BMJ"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1186\/s43088-024-00534-5","article-title":"Middle ear-acquired cholesteatoma diagnosis based on CT scan image mining using supervised machine learning models","volume":"13","author":"Ouattassi N","year":"2024","unstructured":"Ouattassi N, Maaroufi M, Slaoui H, Benateya Andaloussi T, Zarghili A, El Amine El Alami MN. Middle ear-acquired cholesteatoma diagnosis based on CT scan image mining using supervised machine learning models. Beni-Suef Univ J Basic Appl Sci. 2024, 13:78.","journal-title":"Beni-Suef Univ J Basic Appl Sci"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/434964-artificial-intelligence-in-the-diagnosis-of-cholesteatoma-a-systematic-review-of-current-evidence","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T19:41:44Z","timestamp":1762371704000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/434964-artificial-intelligence-in-the-diagnosis-of-cholesteatoma-a-systematic-review-of-current-evidence"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,5]]},"references-count":11,"URL":"https:\/\/doi.org\/10.7759\/cureus.96154","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2025,11,5]]}}}