Awesome AI Agents for Healthcare
A curated list of research papers and resources on agentic AI in healthcare, covering medical image analysis, EHR manipulation, patient dialogue, drug discovery, and healthcare administration, tied to a published survey.
Awesome-AI-Agents-for-Healthcare is a curated list of research papers, projects, and resources on applying agentic AI and AI agents to healthcare, including medical image analysis, electronic health record manipulation, counseling, drug discovery, patient dialogue, and healthcare administration, where an agent is defined as a system that can autonomously perform tasks, make decisions, and interact with its environment, often using large language models, multi-agent systems, and tool integration.
The list accompanies a published survey paper that introduces a conceptual framework for the field and reports a quantitative analysis of the literature, finding that textual data remains the most-used modality, with time-series and genomics data growing quickly; that framework design, agent reasoning, and multi-agent collaboration are the most common technical focuses; and that general medicine, public health, and mental health remain the largest application areas, with drug discovery and genomics as newer frontiers.
Papers are organized by year and by category, such as doctor-facing agents, and the list is kept updated through issues and pull requests.