AI in Healthcare: ARiSE Leads Independent Evaluation of LLMs
AI in healthcare is booming, with OpenAI's HealthBench and Google's global health LLM benchmarking effort evaluating AI models. Meanwhile, ARiSE, led by Dr. Adam Rodman, focuses on independence and objectivity in assessing these solutions.
ARiSE has published several studies in prestigious journals. In NEJM AI, they found Claude 3.5 Sonnet had the highest success rate of 69.67% in completing tasks. Another study in Nature Medicine showed large language models can assist physician reasoning in complex clinical vignettes. Notably, a third paper found LLMs superior to board-certified physicians in emergency room triage and hospital admission scenarios. ARiSE aims to push model development for real-world clinical scenarios, staying independent and objective.
Large language models like Med-Gemini and ChatGPT have demonstrated high accuracy in medical exams. AI is now being incorporated into actual clinical practice and patient care modalities, marking one of the most important contributions of the 21st century.
AI's potential in healthcare is undeniable, with ARiSE leading the way in independent and objective evaluation. As AI models like LLMs show superior performance in clinical scenarios, their integration into real-world care is set to transform healthcare delivery.
