Evaluating the Accuracy of ChatGPT and Google BARD in Fielding Oculoplastic Patient Queries: A Comparative Study on Artificial versus Human Intelligence

Author:

Al-Sharif Eman M.12,Penteado Rafaella C.1,Dib El Jalbout Nahia1,Topilow Nicole J.1,Shoji Marissa K.1,Kikkawa Don O.13,Liu Catherine Y.1,Korn Bobby S.13

Affiliation:

1. Division of Oculofacial Plastic and Reconstructive Surgery, Viterbi Family Department of Ophthalmology, UC San Diego Shiley Eye Institute, La Jolla, California, U.S.A.

2. Clinical Sciences Department, College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

3. Division of Plastic and Reconstructive Surgery, Department of Surgery, UC San Diego School of Medicine, La Jolla, California, U.S.A.

Abstract

Purpose: This study evaluates and compares the accuracy of responses from 2 artificial intelligence platforms to patients’ oculoplastics-related questions. Methods: Questions directed toward oculoplastic surgeons were collected, rephrased, and input independently into ChatGPT-3.5 and BARD chatbots, using the prompt: “As an oculoplastic surgeon, how can I respond to my patient’s question?.” Responses were independently evaluated by 4 experienced oculoplastic specialists as comprehensive, correct but inadequate, mixed correct and incorrect/outdated data, and completely incorrect. Additionally, the empathy level, length, and automated readability index of the responses were assessed. Results: A total of 112 patient questions underwent evaluation. The rates of comprehensive, correct but inadequate, mixed, and completely incorrect answers for ChatGPT were 71.4%, 12.9%, 10.5%, and 5.1%, respectively, compared with 53.1%, 18.3%, 18.1%, and 10.5%, respectively, for BARD. ChatGPT showed more empathy (48.9%) than BARD (13.2%). All graders found that ChatGPT outperformed BARD in question categories of postoperative healing, medical eye conditions, and medications. Categorizing questions by anatomy, ChatGPT excelled in answering lacrimal questions (83.8%), while BARD performed best in the eyelid group (60.4%). ChatGPT’s answers were longer and potentially more challenging to comprehend than BARD’s. Conclusion: This study emphasizes the promising role of artificial intelligence-powered chatbots in oculoplastic patient education and support. With continued development, these chatbots may potentially assist physicians and offer patients accurate information, ultimately contributing to improved patient care while alleviating surgeon burnout. However, it is crucial to highlight that artificial intelligence may be good at answering questions, but physician oversight remains essential to ensure the highest standard of care and address complex medical cases.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Ophthalmology,General Medicine,Surgery

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