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Updated: Jan 13, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Artificial intelligence and deskilling in medicine.

Scott Monteith1, Tasha Glenn2, John Richard Geddes3

  • 1https://ror.org/05hs6h993Michigan State University College of Human Medicine, Traverse City Campus, Traverse City, Michigan, USA.

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Physicians may become over-reliant on artificial intelligence (AI) tools, potentially reducing clinical reasoning and leading to deskilling. Recognizing AI

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Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems

Background:

  • Artificial intelligence (AI) is increasingly integrated into medical practice for tasks like documentation and treatment planning.
  • Physician trust and reliance on AI clinical recommendations are growing.
  • Concerns exist regarding over-reliance, particularly among younger physicians.

Purpose of the Study:

  • To discuss the risks of physician deskilling due to increasing reliance on artificial intelligence.
  • To highlight the importance of understanding AI limitations in clinical settings.

Main Methods:

  • This feature article discusses potential risks.
  • It analyzes the impact of AI on clinical reasoning and decision-making.
  • It explores effects on patient communication and physician skills.

Main Results:

  • Over-reliance on AI may diminish the quality of clinical reasoning and decision-making.
  • Potential negative impacts on patient communication and physician interpersonal skills are identified.
  • Deskilling is a significant risk associated with extensive AI use.

Conclusions:

  • AI tools can assist with administrative tasks but cannot replace essential human physician skills.
  • Physicians must recognize the limitations of AI to mitigate risks.
  • Maintaining critical thinking and interpersonal skills is crucial amidst AI integration.