What question did this study set out to answer?

To review the architectural foundations, collaborative capabilities, safety mechanisms, and clinical integration challenges of emerging agentic AI systems in healthcare.

July 25, 2026Future InternetOpen Access

Agentic AI and Multi-Agent Collaboration in Healthcare: A Comprehensive Survey of Architectures, Clinical Safety, and Future Directions

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Authors

SBSubir BiswasUniversity of Memphis RMRajib MondalAllen Institute for Brain Science MSManob Jyoti SaikiaUniversity of Hyderabad

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Implication

Comprehensive survey demonstrates architectural frameworks and safety constraints for autonomous medical agents in healthcare systems, highlighting persistent barriers to full clinical autonomy.

Key Points

To review the architectural foundations, collaborative capabilities, safety mechanisms, and clinical integration challenges of emerging agentic AI systems in healthcare.
Synthesized literature on medical agent design, contrasting traditional predictive and generative tools with autonomous agentic architectures.
Evaluated architectural components including planning, memory, reasoning, tool use, and perception-decision-action loops supporting multi-agent collaboration.
Assessed clinical safety strategies, including human-in-the-loop oversight, self-verification mechanisms, and regulatory compliance frameworks.
Identified widespread emergence of agentic models tailored for clinical and administrative workflows, though fully autonomous execution remains unrealized.
Determined that major integration barriers stem from system unreliability, low interpretability, heavy data dependency, and friction with existing hospital infrastructures.
Established that advancing healthcare AI requires shifting development from isolated task-specific metrics to comprehensive workflow orchestration and rigorous governance.

Cite This Study

Biswas et al. (2026) studied this question.

synapsesocial.com/papers/6a7f9cd4138fa0ec199fe882 https://doi.org/10.3390/fi18080391

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Implication

Comprehensive survey demonstrates architectural frameworks and safety constraints for autonomous medical agents in healthcare systems, highlighting persistent barriers to full clinical autonomy.

Agentic AI and Multi-Agent Collaboration in Healthcare: A Comprehensive Survey of Architectures, Clinical Safety, and Future Directions

Discussion

Member takes

Implication

Key Points

Cite This Study

Agentic AI and Multi-Agent Collaboration in Healthcare: A Comprehensive Survey of Architectures, Clinical Safety, and Future Directions

Discussion

Member takes

Implication

Key Points

Cite This Study

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