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Related Concept Videos

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Updated: Jan 12, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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A Paradox of Our Time: Evidence-based Guidelines are Blocking Evidence-based Artificial Intelligence.

Vincent Misrai1, Alena Bruchon2

  • 1Department of Urology, Clinique Pasteur, Toulouse, France.

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Summary

Artificial intelligence (AI) can improve patient care, but trust and ethical issues hinder its use. Improving guideline reporting is key to overcoming these barriers and increasing AI adoption in healthcare.

Area of Science:

  • Healthcare technology
  • Medical informatics
  • Clinical decision support

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Background:

  • Artificial intelligence (AI) offers significant potential for optimizing patient care and clinical decision-making.
  • Widespread clinical adoption of AI is currently limited by substantial trust and ethical concerns among healthcare professionals and patients.
  • Existing frameworks for reporting evidence-based guidelines present challenges to addressing these AI-related concerns.