Clinician Cognition and Artificial Intelligence in Medicine

William W. Feaster, Kevin Maher, John Lee, Addison Gearhart, Alan S. Young, Allana Cummings, Bill Vorhies, Chris Yoo, Roderic Ivan Pettigrew, Piyush Mathur, Francis Papay, K. C. Cummings, Hamilton Baker, Danton Char, Kevin Seals, Arlen Meyer, Peter R. Holbrook, Geoffrey W. Rutledge, Todd Feinman, Louis Agha-Mir-SalimLeo Anthony Celi, Nina Miolane, David M. Axelrod, Sybil Klaus, Alison Callahan, Nigam H. Shah, Sharib Gaffar, Leila Entezam

Research output: Chapter in Book/Report/Conference proceedingChapter


There is a myriad of reasons for there to be a more intelligent paradigm in medicine with the adoption of artificial intelligence: augmenting clinician knowledge and expertise; decreasing clinical and administrative burden; facilitating care coordination; and mitigating clinician burnout. There is a concomitantly long list of challenges for artificial intelligence adoption that pertain to data and databases, technology, stakeholders, and other issues such as bias and ethics. Clinician cognition will be more important than ever before with the advent of artificial intelligence. The clinician’s brain has several elements: perception, cognition, and operation, and these are used in various proportions depending on the subspecialty. Aspects of clinical medicine such as complexity, uncertainty as well as biases and heuristics will be additional challenges for medicine in the future. Evidence-based medicine and its limitations are discussed in the context of a new paradigm of intelligence-based medicine. Current applications of artificial intelligence in medicine and health care such as medical imaging, decision support, precision medicine, and altered reality, and robotic technology are briefly discussed.

Original languageEnglish (US)
Title of host publicationIntelligence-Based Medicine
Subtitle of host publicationArtificial Intelligence and Human Cognition in Clinical Medicine and Healthcare
Number of pages74
ISBN (Electronic)9780128233375
StatePublished - Jan 1 2020


  • Cognition
  • Evidence-based medicine
  • Intelligence-based medicine
  • Perception

ASJC Scopus subject areas

  • Medicine(all)
  • Health Professions(all)


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