{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T07:08:09Z","timestamp":1771830489959,"version":"3.50.1"},"reference-count":19,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T00:00:00Z","timestamp":1771804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:p>Medicine stands at a cognitive tipping point as the volume of biomedical information expands faster than clinicians can realistically monitor, synthesize, and apply new evidence in routine practice. Once a marker of scientific progress, this acceleration now challenges the foundations of clinical expertise, patient safety, and medical education. This Perspective examines the widening gap between evidence generation and evidence implementation, arguing that artificial intelligence should not replace clinicians but serve as a cognitive partner. Properly designed and ethically governed systems can assist clinicians by organizing and contextualizing large bodies of information, enabling greater focus on clinical judgment, empathy, and human connection. When integrated thoughtfully, artificial intelligence has the potential to strengthen patient engagement, reduce administrative burden, and support shared human and machine cognition in care delivery. Sustaining clinical excellence in an era of accelerating information growth will depend on embracing artificial intelligence as a collaborative tool and redefining how physicians learn, think, and care. The future of medicine will remain profoundly human, precisely because it is intelligently augmented.<\/jats:p>","DOI":"10.3389\/frai.2026.1744544","type":"journal-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T06:34:57Z","timestamp":1771828497000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The augmented physician: AI and the future of clinical cognition"],"prefix":"10.3389","volume":"9","author":[{"given":"Khayreddine","family":"Bouabida","sequence":"first","affiliation":[{"name":"UConn Health","place":["Farmington, CT, United States"]},{"name":"Connecticut Children's Medical Center","place":["Hartford, CT, United States"]},{"name":"Research Center of the University of Montreal Hospital Centre","place":["Montreal, QC, Canada"]}]},{"given":"Breitner Gomes","family":"Chaves","sequence":"additional","affiliation":[{"name":"Department of Community Health Sciences, Universit\u00e9 de Sherbrooke","place":["Sherbrooke, QC, Canada"]}]},{"given":"Enoch","family":"Anane","sequence":"additional","affiliation":[{"name":"UMass Chan Medical School","place":["Worcester, MA, United States"]}]}],"member":"1965","published-online":{"date-parts":[[2026,2,23]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1001\/jamainternmed.2019.6326","article-title":"Professional dissonance and burnout in primary care: a qualitative study","volume":"180","author":"Agarwal","year":"2020","journal-title":"JAMA Intern. 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