aceAI-induced Deskilling in Medicine: A Mixed-Method Review and Research Agenda for Healthcare and Beyond
Abstract The integration of Artificial Intelligence (AI) in healthcare is reshaping clinical practice, offering both opportunities for enhanced decision-making and risks of skill degradation among medical professionals. This growing impact calls for a comprehensive evaluation of its effects on medical expertise. This study presents a mixed-method literature review, combining systematic analysis with narrative synthesis to examine AI-induced deskilling and upskilling inhibition-the erosion of medical expertise an…
A literature review linked AI decision support to vulnerabilities in doctors' physical examination, differential diagnosis, clinical judgment and patient communication skills, though magnitude and reversibility remain uncertain.
Review identifies need for stronger evidence base, advocating for longitudinal studies and real-time monitoring to assess AI impact and develop mitigation frameworks, indicating current literature is insufficient to quantify long-term skill erosion.
Evidence
- Peer-reviewedArtificial Intelligence Review2025-08-27
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Truvace Impact Record TRV-2026-0490, v2: “AI-induced Deskilling in Medicine: A Mixed-Method Review and Research Agenda for Healthcare and Beyond.” Truvace, 2026-11-04. /record/TRV-2026-0490 (accessed at citation time). sha256 ce756d8465b936cc…
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Editorial pass: sharper headline; gain/problem restated as concrete outcomes; refiled trace to p_space (gain unsupported, problem outcome).
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