{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T00:50:29Z","timestamp":1761180629664,"version":"build-2065373602"},"reference-count":13,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,22]]},"DOI":"10.7759\/cureus.95163","type":"journal-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T15:53:47Z","timestamp":1761148427000},"source":"Crossref","is-referenced-by-count":0,"title":["Comparative Evaluation of Diagnostic and Management Capabilities of Infiniti AI and ChatGPT-4o in Corneal Diseases"],"prefix":"10.7759","author":[{"given":"Abdulaziz","family":"Mohammad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Bulbanat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Faisal","family":"Aljassar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2196\/59069","article-title":"Revolutionizing health care: the transformative impact of large language models in medicine","volume":"27","author":"Zhang K","year":"2025","unstructured":"Zhang K, Meng X, Yan X, et al.. Revolutionizing health care: the transformative impact of large language models in medicine. J Med Internet Res. 2025, 27:59069. 10.2196\/59069","journal-title":"J Med Internet Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000039250","article-title":"ChatGPT in medicine: a cross-disciplinary systematic review of ChatGPT's (artificial intelligence) role in research, clinical practice, education, and patient interaction","volume":"103","author":"Fatima A","year":"2024","unstructured":"Fatima A, Shafique MA, Alam K, Fadlalla Ahmed TK, Mustafa MS. ChatGPT in medicine: a cross-disciplinary systematic review of ChatGPT's (artificial intelligence) role in research, clinical practice, education, and patient interaction. Medicine (Baltimore). 2024, 103:39250. 10.1097\/MD.0000000000039250","journal-title":"Medicine (Baltimore)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2025.1516442","article-title":"Evaluation and comparison of large language models' responses to questions related optic neuritis","volume":"12","author":"He HJ","year":"2025","unstructured":"He HJ, Zhao FF, Liang JJ, et al.. Evaluation and comparison of large language models' responses to questions related optic neuritis. Front Med (Lausanne). 2025, 12:1516442. 10.3389\/fmed.2025.1516442","journal-title":"Front Med (Lausanne)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apjo.2024.100106","article-title":"Accuracy of large language models in answering ophthalmology board-style questions: A meta-analysis","volume":"13","author":"Wu JH","year":"2024","unstructured":"Wu JH, Nishida T, Liu TY. Accuracy of large language models in answering ophthalmology board-style questions: A meta-analysis. Asia Pac J Ophthalmol (Phila). 2024, 13:100106. 10.1016\/j.apjo.2024.100106","journal-title":"Asia Pac J Ophthalmol (Phila)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1136\/bjo-2023-325053","article-title":"Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases","volume":"108","author":"Milad D","year":"2024","unstructured":"Milad D, Antaki F, Milad J, et al.. Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases. Br J Ophthalmol. 2024, 108:1398-405. 10.1136\/bjo-2023-325053","journal-title":"Br J Ophthalmol"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/jpm15040160","article-title":"Multimodal performance of GPT-4 in complex ophthalmology cases","volume":"15","author":"Mikhail D","year":"2025","unstructured":"Mikhail D, Milad D, Antaki F, et al.. Multimodal performance of GPT-4 in complex ophthalmology cases. J Pers Med. 2025, 15:4. 10.3390\/jpm15040160","journal-title":"J Pers Med"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.preteyeres.2025.101374","article-title":"Artificial intelligence in ophthalmology: progress, challenges, and ethical implications","volume":"107","author":"Savastano MC","year":"2025","unstructured":"Savastano MC, Rizzo C, Fossataro C, et al.. Artificial intelligence in ophthalmology: progress, challenges, and ethical implications. Prog Retin Eye Res. 2025, 107:101374. 10.1016\/j.preteyeres.2025.101374","journal-title":"Prog Retin Eye Res"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.86288","article-title":"Evaluating the use of ChatGPT 3.5 and Bard as self-assessment tools for short answer questions in undergraduate ophthalmology","volume":"17","author":"Khake AM","year":"2025","unstructured":"Khake AM, Gokhale S, Dindore P, Khake S, Desai M. Evaluating the use of ChatGPT 3.5 and Bard as self-assessment tools for short answer questions in undergraduate ophthalmology. Cureus. 2025, 17:86288. 10.7759\/cureus.86288","journal-title":"Cureus"},{"key":"ref9","article-title":"Eh-benchmark: ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow","author":"Pan X","year":"2025","unstructured":"Pan X, Bai Y, Zou K, Zhou Y, Zhou J, Fu H. Eh-benchmark: ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow. arXiv. 2025,","journal-title":"arXiv"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01081-0","article-title":"Augmented non-hallucinating large language models as medical information curators","volume":"7","author":"Gilbert S","year":"2024","unstructured":"Gilbert S, Kather JN, Hogan A. Augmented non-hallucinating large language models as medical information curators. NPJ Digit Med. 2024, 7:100. 10.1038\/s41746-024-01081-0","journal-title":"NPJ Digit Med"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1093\/schbul\/sbw132","article-title":"Hallucinations: a systematic review of points of similarity and difference across diagnostic classes","volume":"43","author":"Waters F","year":"2017","unstructured":"Waters F, Fernyhough C. Hallucinations: a systematic review of points of similarity and difference across diagnostic classes. Schizophr Bull. 2017, 43:32-43. 10.1093\/schbul\/sbw132","journal-title":"Schizophr Bull"},{"key":"ref12","unstructured":"Ophthalmology cases. (2014). Accessed. August 18, 2025: https:\/\/webeye.ophth.uiowa.edu\/eyeforum\/cases.htm#gsc.tab=0."},{"key":"ref13","unstructured":"Infiniti AI. (2025). Accessed. August 18, 2025: http:\/\/Available from: https:\/\/www.sinjabacademy.org\/infinity."}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/424653-comparative-evaluation-of-diagnostic-and-management-capabilities-of-infiniti-ai-and-chatgpt-4o-in-corneal-diseases","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T15:53:48Z","timestamp":1761148428000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/424653-comparative-evaluation-of-diagnostic-and-management-capabilities-of-infiniti-ai-and-chatgpt-4o-in-corneal-diseases"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,22]]},"references-count":13,"URL":"https:\/\/doi.org\/10.7759\/cureus.95163","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10,22]]}}}