What question did this study set out to answer?

This research aims to evaluate the accuracy of ChatGPT-5 in predicting outcomes of full-thickness macular hole repairs compared to traditional clinical judgment.

January 25, 20260 citations

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Predicting Postoperative Outcomes in Full-Thickness Macular Hole Repair Surgery: ChatGPT vs. Clinical Decision.

AWAya WattadTel Aviv Sourasky Medical Center RSRazan SaadiTel Aviv Sourasky Medical Center MBMaxim BezTel Aviv University

Key Points

This research aims to evaluate the accuracy of ChatGPT-5 in predicting outcomes of full-thickness macular hole repairs compared to traditional clinical judgment.
Comparison of ChatGPT-5 predictions with clinical assessments
Analysis of closure rates and visual recovery estimates
Identification of biases in AI predictions
ChatGPT-5 showed a high degree of predicted accuracy for surgery outcomes
Predictions were influenced by an optimism bias, leading to overestimated results
Clinical judgment was found to be more reliable for actual outcomes

Abstract

ChatGPT-5 demonstrated apparent accuracy in predicting FTMH surgery outcomes; however, this was largely driven by an optimism bias that overestimated closure and visual recovery. This model still lack clinical judgment. Larger prospective studies are needed before clinical use.

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Cite This Study

Wattad et al. (Wed,) studied this question.

synapsesocial.com/papers/6975b4fd5a65d392b01e5c2b https://doi.org/https://doi.org/10.1097/iae.0000000000004779

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