Comparative Analysis of AI Models in Guiding Treatment for Lumbosacral Radicular Pain: A Cross-Sectional Study of ChatGPT-3.5, ChatGPT-4o, Copilot, Gemini, Claude, and Perplexity Against Clinical Practice Guidelines – Frontiers

The study evaluates the accuracy of various AI models, including ChatGPT-3.5, ChatGPT-4o, Copilot, Gemini, Claude, and Perplexity, in providing advice on lumbosacral radicular pain as per clinical practice guidelines. Researchers conducted a cross-sectional analysis to compare the responses of these AI tools with established clinical standards. Findings reveal significant differences in accuracy across the models, with some performing better than others in adhering to recommended practices. The study highlights the potential of AI in clinical decision-making while also emphasizing the importance of rigorous evaluation to ensure reliability. Overall, the results suggest that while AI can be a valuable resource, its responses should be carefully validated against clinical guidelines to ensure safe and effective patient care. This assessment contributes to ongoing discussions about integrating AI technologies into healthcare settings.

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