Mount Sinai Researchers: Next-Gen AI Agents Can Help Improve Decision Support
AI in Healthcare
|
Contributed by: Kate Gamble
Summary
Next-generation AI agents are set to transform healthcare by improving clinical decision support, automating workflows, and tailoring patient care. Researchers from the Icahn School of Medicine and Mount Sinai Health System classify these AI models into four categories—foundation, assistant, partner, and pioneer—each reflecting varying degrees of autonomy and integration. Implementation will require continuous innovation, thorough validation, and collaboration among technical experts and healthcare providers, while keeping patient outcomes, privacy, security, and accessibility in focus. The study also forecasts advancements in AI architecture and technology will lead to improvements in diagnostic precision and operational efficiency, enabling applications such as AI-driven molecular diagnostics and streamlined treatment planning, ultimately alleviating clinician workloads and enhancing patient care.
