Generative Artificial Intelligence and Prompt Engineering: A Primer for Orthopaedic Surgeons.

JBJS Rev · Oct 01 2024 · Review

Carroll AN, Storms LA, Malempati C, Shanavas RV, Badarudeen S

Department of Orthopaedic Surgery and Sports Medicine, University of Kentucky, Lexington

General Orthopaedics

SUMMARY — THE REDUCTIONThis primer explains how generative AI and prompt engineering can support orthopaedic diagnosis, workflow, and patient care while highlighting LLM limitations like hallucinations and ethical concerns.
Abstract, as published

» Generative artificial intelligence (AI), a rapidly evolving field, has the potential to revolutionize orthopedic care by enhancing diagnostic accuracy, treatment planning, and patient management through data-driven insights and personalized strategies.» Unlike traditional AI, generative AI has the potential to generate relevant information for orthopaedic surgeons when instructed through prompts, automating tasks such as literature reviews, streamlining workflows, predicting health outcomes, and improving patient interactions.» Prompt engineering is essential for crafting effective prompts for large language models (LLMs), ensuring accurate and reliable AI-generated outputs, and promoting ethical decision-making in clinical settings.» Orthopaedic surgeons can choose between various prompt types-including open-ended, focused, and choice-based prompts-to tailor AI responses for specific clinical tasks to enhance the precision and utility of generated information.» Understanding the limitations of LLMs, such as token limits, context windows, and hallucinations, is crucial for orthopaedic surgeons to effectively use generative AI while addressing ethical concerns related to bias, privacy, and accountability.

Featured in the 2026-09-04 issue.

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