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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0526Certified recordPeer-reviewed

Large Language Models in Medicine: Applications, Challenges, and Future Directions

In recent years, large language models (LLMs) represented by GPT-4 have developed rapidly and performed well in various natural language processing tasks, showing great potential and transformative impact. The medical field, due to its vast data information as well as complex diagnostic and treatment processes, is undoubtedly one of the most promising areas for the application of LLMs. At present, LLMs has been gradually implemented in clinical practice, medical research, and medical education. However, in pract…

Health · The Trace — both readings · certified 2026-07-24 · v1 · article view · machine-readable

Current reading — gain

Large language models represented by GPT-4 have been gradually implemented in clinical practice, medical research, and medical education with transformative potential for healthcare delivery.

Current reading — problem

Medical LLMs still face numerous challenges in practical applications, including hallucination, limited interpretability, and ethical concerns that hinder widespread use.

What this doesn’t fix

The review notes that widespread application is not yet realized and that further work is needed on evaluation, multimodality, and collaboration.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-0526, v1: “Large Language Models in Medicine: Applications, Challenges, and Future Directions.” Truvace, 2026-07-24. /record/TRV-2026-0526 (accessed at citation time). sha256 e72d2eacaeb8f575…

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