GPT-4 beats human doctors in medical soft skills

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GPT-4 beats human doctors in medical soft skills
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Researchers evaluated how well AI models GPT-4 and ChatGPT perform on the US Medical Licensing Examination questions focused on soft skills like judgment and empathy. GPT-4 outperformed both ChatGPT and human test-takers, answering 90% of questions correctly, while ChatGPT had a 62.5% accuracy rate.

By Tarun Sai LomteOct 2 2023Reviewed by Susha Cheriyedath, M.Sc. In a recent study published in the journal Scientific Reports, researchers evaluated the performance of Generative Pre-trained Transformer-4 and ChatGPT in the United States Medical Licensing Examination soft skills.

The USMLE Step 2 Clinical Knowledge scores predict performance across performance domains, such as communication, professionalism, teamwork, and patient care. Artificial cognitive empathy is an emerging field of interest. Understanding the capacity of AI to accurately perceive and respond to patients' emotional states will be particularly relevant in patient-centered care and telemedicine.

Sample test questions were screened, and 21 questions were selected, which require professionalism, interpersonal and communication skills, cultural competence, leadership, organizational behavior, and legal/ethical issues. Questions that require medical or scientific knowledge were not selected. Findings The overall accuracy of ChatGPT was 62.5%. It was 66.6% accurate for the USMLE sample test and 61% for AMBOSS questions. GPT-4 showed superior performance, achieving an overall accuracy of 90%. GPT-4 answered the USMLE sample test with 100% accuracy; however, its accuracy for AMBOSS questions was 86.4%. Regardless of whether the initial response was correct, GPT-4 never changed its response when prompted to re-evaluate its initial answer.

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