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Build Better AI Medical Assistants with Chain-of-Thought Prompting

AI benefits healthcare by improving the speed of patient diagnosis. Hallucinations are one concern in this process because they can lead to incorrect treatment. Chain-of-thought (CoT) prompting solves this by instructing an LLM to use advanced reasoning to find the best possible answer. Healthcare professionals who use AI can consider using CoT prompting to improve diagnosis speed and accuracy.

Mon., 3. March 2025  |  4 min read
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AI brings great benefits to patient diagnosis. Doctors can use AI as an assistant to diagnose patients based on symptoms and medical history. Medical institutions like the Cleveland Clinic and Ochsner Health have embraced AI to improve patient care. The Cleveland Clinic uses AI to determine the most critical medical cases that need urgent attention. Ochsner Health uses AI to respond more quickly to increasing patient emails. Hallucinations would be detrimental in this process leading to incorrect treatment. Chain-of-thought (CoT) prompting is one technique that can solve this issue. CoT prompting allows an LLM to break down a problem and explain how it reached the solution. This enables healthcare professionals to follow the LLM’s reasoning instead of using it like a black box. CoT prompting can improve a model’s performance and allow for the easier identification of hallucinations. Healthcare professionals who use …

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