Comparison of large language models and expert multidisciplinary team decisions in colorectal cancer | Synapse
March 13, 2026Open Access
Comparison of large language models and expert multidisciplinary team decisions in colorectal cancer
Key Points
Evaluate how large language models replicate expert multidisciplinary team recommendations in colorectal cancer management.
Comparison of LLM outputs with expert MDT recommendations
Assessment of the accuracy of LLM predictions
Evaluation of potential integration into clinical settings
LLMs can partially replicate expert MDT recommendations
Integration of LLMs should complement human expertise rather than replace it
Highlights the value of combining human and AI decision-making in healthcare
Abstract
LLMs can partially replicate expert MDT recommendations in colorectal cancer. Their integration into clinical workflows should aim to complement, rather than replace, human expertise.