The emergence of large language models (LLMs) prompted one research team to compare how well this technology performs compared with traditional clinical decision support systems in identifying ...

Researchers at Harvard Medical School have identified contextual errors as a central reason why medical artificial intelligence systems that work well in laboratory tests have struggled to ...

Timing is everything: How gen AI-driven digital platforms influence the way real-world cancer patients search for, learn about, and enroll in clinical trials. Predictive modeling by tumor type: ...

Clinical decision support tools help clinicians to have up-to-date information about medical conditions. An effective clinical decision support tool is available at the point of care, is as current as ...

While Artificial Intelligence (AI) can be a powerful tool that physicians can use to help diagnose their patients and has great potential to improve accuracy, efficiency and patient safety, it has its ...

The inherent variability and potential inaccuracies of AI-generated output can leave even experienced clinicians uncertain about AI recommendations. This dilemma is not novel; it mirrors the broader ...