AI Agents Enhancing Clinical Decision-Making in Oncology
AI agents are improving clinical decision-making in oncology, achieving 91% accuracy in simulated patient cases. π€π
Discover the newest research about AI innovations in π§ LLM’s.
AI agents are improving clinical decision-making in oncology, achieving 91% accuracy in simulated patient cases. π€π
GPT-4o outperforms Llama-3.3-70B in stroke CT report data extraction, precision improved with annotation guidelines. ππ§
AI boosts diagnostic accuracy in rural Kenya: 79.4% concordance with specialists vs. 50.8% for PCPs. ππ€
Stanford Health Care introduces ChatEHR, a tool for clinicians to interact with electronic health records efficiently. π₯π»
Seoul National University Hospital introduces an AI-driven precision medicine system for personalized cancer treatment. π₯π‘
DeepSeek-R1 shows potential in enhancing healthcare delivery and patient engagement. Challenges remain for its clinical integration. π₯π€
Fine-tuned LLMs improve error detection in radiology reports, enhancing patient care and reducing cognitive load for radiologists. π©»π
VA’s Chief AI Officer highlights the importance of human-centric problem-solving in technology. π€π‘ Focus on addressing key issues first.
FDA launches Elsa, an AI tool aimed at improving employee efficiency and enhancing agency functions. π€π
Exploring e-Patients: Digital Tech’s Role in Empowering Health Decisions π±π‘