Matteo Mario Carlà, Emanuele Crincoli, Stanislao Rizzo
{"title":"chatgpt - 40和Gemini Advanced视网膜成像分析:革命的转折点?","authors":"Matteo Mario Carlà, Emanuele Crincoli, Stanislao Rizzo","doi":"10.1097/IAE.0000000000004351","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To assess the diagnostic capabilities of the most recent chatbots releases, GPT-4o and Gemini Advanced, facing different retinal diseases.</p><p><strong>Methods: </strong>Exploratory analysis on 50 cases with different surgical (n=27) and medical (n=23) retinal pathologies, whose optical coherence tomography/angiography (OCT/OCTA) scans were dragged into ChatGPT and Gemini's interfaces. Then, we asked \"Please describe this image\" and classified the diagnosis as: 1) Correct; 2) Partially correct; 3) Wrong; 4) Unable to assess exam type and 5) Diagnosis not given.</p><p><strong>Results: </strong>ChatGPT indicated the correct diagnosis in 31/50 cases (62%), significantly higher than Gemini Advanced 16/50 cases (p=0.0048). In 24% of cases, Gemini Advanced was not able to produce any answer, stating \"That's not something I'm able to do yet\". For both, primary misdiagnosis was macular edema, given erroneously in 16% and 14% of cases, respectively. ChatGPT-4o showed higher rates of correct diagnoses either in surgical (52% vs 30%) and medical retina (78% vs 43%). Notably, when presented without the corresponding structural image, in any case Gemini was able to recognize OCTA scans, confusing images for artworks.</p><p><strong>Conclusion: </strong>ChatGPT-4o outperformed Gemini Advanced in terms of diagnostic accuracy facing OCT/OCTA images, even if the range of diagnoses is still limited.</p>","PeriodicalId":54486,"journal":{"name":"Retina-The Journal of Retinal and Vitreous Diseases","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retinal Imaging Analysis Performed By ChatGPT-4o And Gemini Advanced: The Turning Point Of The Revolution?\",\"authors\":\"Matteo Mario Carlà, Emanuele Crincoli, Stanislao Rizzo\",\"doi\":\"10.1097/IAE.0000000000004351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To assess the diagnostic capabilities of the most recent chatbots releases, GPT-4o and Gemini Advanced, facing different retinal diseases.</p><p><strong>Methods: </strong>Exploratory analysis on 50 cases with different surgical (n=27) and medical (n=23) retinal pathologies, whose optical coherence tomography/angiography (OCT/OCTA) scans were dragged into ChatGPT and Gemini's interfaces. Then, we asked \\\"Please describe this image\\\" and classified the diagnosis as: 1) Correct; 2) Partially correct; 3) Wrong; 4) Unable to assess exam type and 5) Diagnosis not given.</p><p><strong>Results: </strong>ChatGPT indicated the correct diagnosis in 31/50 cases (62%), significantly higher than Gemini Advanced 16/50 cases (p=0.0048). In 24% of cases, Gemini Advanced was not able to produce any answer, stating \\\"That's not something I'm able to do yet\\\". For both, primary misdiagnosis was macular edema, given erroneously in 16% and 14% of cases, respectively. ChatGPT-4o showed higher rates of correct diagnoses either in surgical (52% vs 30%) and medical retina (78% vs 43%). Notably, when presented without the corresponding structural image, in any case Gemini was able to recognize OCTA scans, confusing images for artworks.</p><p><strong>Conclusion: </strong>ChatGPT-4o outperformed Gemini Advanced in terms of diagnostic accuracy facing OCT/OCTA images, even if the range of diagnoses is still limited.</p>\",\"PeriodicalId\":54486,\"journal\":{\"name\":\"Retina-The Journal of Retinal and Vitreous Diseases\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Retina-The Journal of Retinal and Vitreous Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/IAE.0000000000004351\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPHTHALMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Retina-The Journal of Retinal and Vitreous Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/IAE.0000000000004351","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
Retinal Imaging Analysis Performed By ChatGPT-4o And Gemini Advanced: The Turning Point Of The Revolution?
Purpose: To assess the diagnostic capabilities of the most recent chatbots releases, GPT-4o and Gemini Advanced, facing different retinal diseases.
Methods: Exploratory analysis on 50 cases with different surgical (n=27) and medical (n=23) retinal pathologies, whose optical coherence tomography/angiography (OCT/OCTA) scans were dragged into ChatGPT and Gemini's interfaces. Then, we asked "Please describe this image" and classified the diagnosis as: 1) Correct; 2) Partially correct; 3) Wrong; 4) Unable to assess exam type and 5) Diagnosis not given.
Results: ChatGPT indicated the correct diagnosis in 31/50 cases (62%), significantly higher than Gemini Advanced 16/50 cases (p=0.0048). In 24% of cases, Gemini Advanced was not able to produce any answer, stating "That's not something I'm able to do yet". For both, primary misdiagnosis was macular edema, given erroneously in 16% and 14% of cases, respectively. ChatGPT-4o showed higher rates of correct diagnoses either in surgical (52% vs 30%) and medical retina (78% vs 43%). Notably, when presented without the corresponding structural image, in any case Gemini was able to recognize OCTA scans, confusing images for artworks.
Conclusion: ChatGPT-4o outperformed Gemini Advanced in terms of diagnostic accuracy facing OCT/OCTA images, even if the range of diagnoses is still limited.
期刊介绍:
RETINA® focuses exclusively on the growing specialty of vitreoretinal disorders. The Journal provides current information on diagnostic and therapeutic techniques. Its highly specialized and informative, peer-reviewed articles are easily applicable to clinical practice.
In addition to regular reports from clinical and basic science investigators, RETINA® publishes special features including periodic review articles on pertinent topics, special articles dealing with surgical and other therapeutic techniques, and abstract cards. Issues are abundantly illustrated in vivid full color.
Published 12 times per year, RETINA® is truly a “must have” publication for anyone connected to this field.