Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 9, 2025Open Access

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting

View Full Paper
Ask AI
Bookmark
Share

Authors

HHHashim HayatMKMaksim KudrautsauEMEvgeniy Makarov

Discussion

Loading...

Member takes

Overview

Retrospective analysis compares autonomous AI's diagnostic and treatment abilities in urgent care, suggesting comparable outcomes with human clinicians.

Key Points

  • AI demonstrated 81% diagnostic concordance with board-certified clinicians, showing strong performance.
  • Treatment plan consistency was remarkably high at 99.2%, indicating reliable AI recommendations.
  • In discordant cases, AI outperformed humans in 36.1% of instances while humans excelled in only 9.3%.
  • These results highlight the potential of autonomous AI systems to address healthcare workforce shortages.

Cite This Study

Hayat et al. (2025) studied this question.

synapsesocial.com/papers/68e7f0af2d7e30942762c87ahttps://doi.org/10.48550/arxiv.2507.22902
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting2025 · 10 citations
  2. 2AI vs Human Performance in Conversational Hospital-Based Neurological Diagnosis2025 · 4 citations
  3. 3AI Agents in Clinical Medicine: A Systematic Review2025 · 40 citations
  4. 4Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning2025
  5. 5Evaluating Diagnostic Performance of Laypersons, Physicians, and AI-Augmented Physicians Across Clinical Complexity Levels2025