arXiv:2606.30658v1 Announce Type: cross Abstract: Medical AI has shifted from reasoning to agentic AI, a new paradigm that autonomously invokes external tools during reasoning, rendering intermediate reasoning steps and tool outputs transparent to users. Although proven to outperform previous models, physician trust in agentic AI remains largely unexplored. To address this, three physicians evaluated 315 multimodal clinical cases quantifying both process-oriented cognitive trust and outcome-oriented behavioral reliance. Comparing agentic AI against non-agentic baselines, physicians exhibited s
The shift from traditional reasoning AI to agentic AI, which offers transparency in its reasoning, addresses a key barrier to adoption in high-stakes fields like medicine.
This development suggests agentic AI can overcome trust issues preventing widespread integration into professional workflows, potentially accelerating its deployment and impact.
Physicians are demonstrated to trust agentic AI more than non-agentic versions, paving the way for more rapid and pervasive AI adoption in clinical settings.
- · AI developers
- · Healthcare providers
- · Patients
- · Agentic AI platforms
- · Traditional clinical decision support systems
- · AI models lacking transparency
Increased adoption of AI in clinical decision-making due to enhanced physician trust.
Improved patient outcomes and greater efficiency within healthcare systems as AI assists diagnoses and treatment plans.
Ethical and legal frameworks for AI accountability may need rapid evolution as AI becomes an integral part of human-centric decision processes.
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Read at arXiv cs.AI