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August 7, 2026Respiration

Embracing Artificial Intelligence while Preserving Clinical Expertise: Raising Awareness of Artificial Intelligence-Induced Procedural Deskilling in Interventional Pulmonology

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Authors

GMGuido MarchiUniversity of Pisa

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Implication

Randomized trial reveals AI-induced deskilling in interventional pulmonology, suggesting urgent educational reforms are needed.

Key Points

  • This analysis examines the risks of AI-induced deskilling in interventional pulmonology and its implications for clinical competence.
  • Review of existing literature on AI in interventional procedures and its effects on clinical skills.
  • Comparison with findings from similar studies in adjacent procedural fields, particularly colonoscopy.
  • Recommendations for modifications in training and governance in response to the identified deskilling risks.
  • Identified potential mechanisms of deskilling, including automation bias and cognitive offloading.
  • Highlighted empirical evidence from colonoscopy showing a decline in performance due to AI exposure (OR 0.69, 95% CI 0.53–0.89; p=0.0089).
  • Proposed structured training reforms and minimum non-AI procedure volumes to maintain procedural skills against deskilling.

Cite This Study

Guido Marchi (2026) studied this question.

synapsesocial.com/papers/6a758b93847ab6d26c01eea2https://doi.org/10.1159/000553191
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Also Consider

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

  1. 1AI-induced Deskilling in Medicine: A Mixed-Method Review and Research Agenda for Healthcare and Beyond2025 · 130 citations
  2. 2Artificial Intelligence in Interventional Pulmonology: Promise versus Proof2025 · 12 citations
  3. 3Intercostal Artery Screening with Color Doppler Thoracic Ultrasound in Pleural Procedures: A Potential Yet Underexplored Imaging Modality for Minimizing Iatrogenic Bleeding Risk in Interventional Pulmonology2025 · 10 citations
  4. 4The road less travelled: thoracic ultrasound, advanced imaging and artificial intelligence for early diagnosis of non-expandable lung in malignant pleural effusion2025 · 13 citations
  5. 5The role of interventional pulmonology in management of pulmonary nodules during lung cancer screening2025 · 12 citations