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**ChatGPT Fails Ophthalmology Board Exam but Shows Promise in Diagnosing Eye Problems**
In a recent study presented at the Association for Research in Vision and Ophthalmology meeting, ChatGPT, an AI language model, was put to the test against an ophthalmology board-style exam. The results? ChatGPT fell short, scoring only 59% on the first attempt and a mere 24% on the second, even with feedback provided.
Despite its poor performance on the board exam questions, ChatGPT showed promise in diagnosing acute ocular problems when given detailed history and exam elements. Dr. Belinda Ikpoh and co-authors selected 15 questions from the American Academy of Ophthalmology question bank, covering various subspecialty categories. While ChatGPT struggled with the exam questions, it demonstrated the ability to formulate the correct primary and differential diagnoses in cases of new acute ocular problems.
The study found that ChatGPT’s diagnoses matched those of physicians in 67% of cases and included the correct differential diagnosis in 88% of cases when provided with relevant history and exam elements. This suggests that ChatGPT’s performance may be heavily dependent on the quality of data it receives.
Overall, while ChatGPT may not have aced the ophthalmology board exam, its ability to analyze and diagnose acute ocular problems shows promise for its future applications in the field.
This study sheds light on the strengths and limitations of AI models like ChatGPT in the field of ophthalmology, highlighting the importance of providing comprehensive data for accurate diagnosis. As technology continues to evolve, AI’s role in healthcare will undoubtedly expand, offering new possibilities for medical professionals and patients alike.
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