Can AI Become an Orthopedic Surgeon? Unveiling GPT-4's Performance in Surgical Knowledge

Author Name : Usha Mohan

Orthopedics

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Abstract

The rapid advancement of artificial intelligence (AI) is making waves in healthcare. This review delves into a recent study exploring GPT-4's, a cutting-edge large language model (LLM), performance on orthopedic surgery board exam questions. We analyze the findings, highlighting GPT-4's strengths and limitations in replicating surgical knowledge.

Introduction

The field of orthopedic surgery demands extensive knowledge and clinical expertise. However, keeping pace with the ever-evolving medical landscape can be challenging. This is where AI presents intriguing possibilities. This review examines a study that investigates the capabilities of GPT-4, a powerful LLM, in the realm of orthopedic surgery knowledge.

GPT-4's Performance in Orthopedic Surgery Knowledge Assessment

The study evaluated GPT-4's performance on a set of orthopedic surgery board exam questions. Here's a breakdown of the key findings:

  • Impressive Accuracy: GPT-4 answered a significant portion (over 63%) of the questions correctly, demonstrating a grasp of fundamental orthopedic knowledge.

  • Type-Specific Performance: The study revealed variations in GPT-4's performance across different question types. It excelled at factual recall questions but showed limitations in tackling more nuanced, scenario-based problems.

  • Benchmarking Against Residents: Interestingly, GPT-4's performance was comparable to that of an average third-year orthopedic resident surgeon, showcasing its potential as a learning tool.

Implications and Considerations

While GPT-4's performance is promising, several crucial factors need consideration:

  • Understanding Reasoning: GPT-4 can access and process vast amounts of information, but mimicking the critical thinking and reasoning skills of experienced surgeons remains a challenge.

  • Clinical Judgment and Decision-Making: Orthopedic surgery relies heavily on clinical judgment gained through experience. GPT-4, at this stage, lacks the ability to replicate this crucial aspect.

  • Ethical Considerations: The potential for AI integration in surgery raises ethical concerns regarding patient safety and the role of human surgeons.

Conclusion

The study on GPT-4's performance in orthopedic surgery knowledge assessment offers a glimpse into the future of AI-powered healthcare education. While not a replacement for human expertise, GPT-4 has the potential to be a valuable learning tool for surgeons and a stepping stone for further AI advancements in surgical knowledge.


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