In 2025 alone, 36 new studies on AI agents in healthcare were published, marking a rapid acceleration in a field still largely confined to simulated environments. The rapid acceleration in AI agent studies pushes autonomous AI into critical patient care, yet its practical application lacks real-world validation. The research and business community projects high returns for AI agents, but their efficacy and safety, particularly at higher autonomy levels, remain largely unproven. This tension between theoretical promise and practical deployment means companies will likely invest heavily in AI agents for automation. However, widespread, safe, and effective deployment will be significantly hampered by the need for extensive real-world validation and robust risk mitigation strategies.
A scoping review identified 1,070 records on AI agent research in healthcare, ultimately including 43 studies. Of these, 36 were published in 2025, according to PMC. The rapid increase in AI agent research suggests a critical inflection point: AI agents are transitioning from theoretical concepts to a fast-expanding field of practical research, particularly in specialized domains like medical diagnostics and treatment planning.
What Makes an AI Agent Different?
AI agent archetypes in healthcare research rely on external tool use for grounding and iterative self-correction for refinement, as noted by PMC. The capacity to integrate external data and refine actions differentiates AI agents from prior-generation AI, enabling greater autonomy and adaptability. However, the focus on iterative self-correction and external tool use is a double-edged sword. Iterative self-correction and external tool use exacerbate challenges in explainability and value alignment, making real-time decisions in sensitive contexts harder to trust, according to arXiv.
The Promise of Real-Time Autonomy
AI agents in healthcare are designed to reason, learn, and make decisions in real time, potentially augmenting clinical judgment and streamlining healthcare delivery, PMC states. Real-time capabilities offer transformative potential to enhance human expertise and operational efficiency in critical sectors. For instance, an agent could continuously analyze patient data, identifying subtle changes that might escape human observation and recommending timely interventions.
