The interaction of structured data using openEHR and large Language models for clinical decision support in prostate cancer.
Our findings provide evidence that LLMs can provide accurate treatment recommendations for newly diagnosed prostate cancer patients. LLMs have the potential to streamline MDT workflows, enabling specialists to focus on complex cases and patient-centered discussions. In this study, we explored the potential of artificial intelligence models called large language models (LLMs) to assist in treatment decision-making for prostate cancer patients. We found that LLMs, when provided with patient information and clinical guidelines, can recommend treatments that closely match those made by a team of cancer specialists, suggesting that LLMs could help streamline the decision-making process and potentially reduce healthcare costs.
