Survey of Physician Attitudes on Artificial Intelligence

Abstract

Objective To better understand how physicians view the potential use of artificial intelligence (AI) in their practices. Method We conducted an online cross-sectional survey of 1,258 physicians (MD, DO, MBBS or equivalent) in the United States (US) and Canada from December 2023 through February 2026. The survey contained 34 questions focused on 6 areas: (1) demographics, (2) training, (3) clinical benefits, (4) clinical concerns, (5) clinical AI prediction tools, and (6) generative AI. Results A total of 130 completed surveys were received (response rate, 10%). Top specialties included psychiatry (46.2%), internal medicine (14.6%) and pediatrics (13.8%). A total of 16.9% had training in computer science or information technology and 40.8% in statistics. Nearly half (46.9%) had no formal training in AI and were self-taught. Those with training in AI received it through vendors or at work. Sixty to seventy percent thought AI would provide diagnostic aid or treatment recommendations, but half did not feel adequately trained to safely use AI in practice. Over 70% thought it could help with administrative tasks. More than 80% were worried about errors, misinformation, or biases in the data. Conclusion There is a growing sense that AI in medicine could be helpful with specific tasks. Ongoing training, education, and study are needed to determine how AI will best integrate into clinical practice.

The digital physician illusion: individual innovativeness, unlike artificial intelligence attitudes, drives rational drug use through health literacy.
Kaan Raif, Kemal Cek, Saime Ulucayli +1
Frontiers in public health6 Oct 2026Peer-reviewedCC BYFull textEpidemiology & public healthEurope PMCCrossref
Attitudes and perceptions toward artificial intelligence among practicing rheumatologists in Iraq: a cross-sectional web-based survey
Mustafa Alhayali, Marwa Moayad, Nizar Abdulatif Jasim +9
Frontiers in medicine16 Oct 2026Peer-reviewedCC BYFull textEpidemiology & public healthEurope PMCPMC
Attitudes and perceptions toward the use of artificial intelligence chatbots for peer review in medical journals: a large-scale, international cross-sectional survey.
Jeremy Y Ng, Daivat Bhavsar, Neha Dhanvanthry +9
Research integrity and peer review26 Oct 2026Peer-reviewedCC BYFull textEpidemiology & public healthEurope PMCPMC
Knowledge, attitudes, and use of artificial intelligence among adult and pediatric hematologists in Türkiye: a national cross-sectional survey.
Olgu Erkin Çınar, Hilmi Erdem Gözden, Özlen Balta +1
BMC medical education4 Aug 2026Peer-reviewedCC BY-NC-NDFull textEpidemiology & public healthEurope PMCPMC
Awareness, Attitudes, and Barriers Toward Artificial Intelligence in Dentistry: A Cross-Sectional Survey of Dental Professionals in Kuwait.
Kawther Ali, Alghalyah Al-Ali, Maryam Safar +1
Dentistry journal1 Sep 2026Peer-reviewedCC BYFull text1 citedEpidemiology & public healthEurope PMCDOAJ

Cite

BibTeX RIS

BibTeX

@misc{leininger2026survey,
  title = {{Survey of Physician Attitudes on Artificial Intelligence}},
  author = {L. Leininger and T. Glenn and H. Mayle and N. Hart and C. Muckian and Y. Reddy and K. Redinger and S. Monteith and J. F. Goldberg and D. Tuinstra and E. Yeung and P. Fu and D. Gratzer and C. Blease and I. M. Guiroy and J. Torous and P. Marcy and J. M. Kane and E. D. Achtyes},
  howpublished = {medRxiv},
  year = {2026},
  month = nov,
  doi = {10.64898/2026.11.01.26367027},
  url = {https://www.medrxiv.org/content/10.64898/2026.11.01.26367027v1},
  note = {CC BY-NC-ND},
}

RIS

TY  - UNPB
TI  - Survey of Physician Attitudes on Artificial Intelligence
AU  - L. Leininger
AU  - T. Glenn
AU  - H. Mayle
AU  - N. Hart
AU  - C. Muckian
AU  - Y. Reddy
AU  - K. Redinger
AU  - S. Monteith
AU  - J. F. Goldberg
AU  - D. Tuinstra
AU  - E. Yeung
AU  - P. Fu
AU  - D. Gratzer
AU  - C. Blease
AU  - I. M. Guiroy
AU  - J. Torous
AU  - P. Marcy
AU  - J. M. Kane
AU  - E. D. Achtyes
PY  - 2026
DA  - 2026/11/01
PB  - medRxiv
DO  - 10.64898/2026.11.01.26367027
UR  - https://www.medrxiv.org/content/10.64898/2026.11.01.26367027v1
AB  - Objective To better understand how physicians view the potential use of artificial intelligence (AI) in their practices. Method We conducted an online cross-sectional survey of 1,258 physicians (MD, DO, MBBS or equivalent) in the United States (US) and Canada from December 2023 through February 2026. The survey contained 34 questions focused on 6 areas: (1) demographics, (2) training, (3) clinical benefits, (4) clinical concerns, (5) clinical AI prediction tools, and (6) generative AI. Results A total of 130 completed surveys were received (response rate, 10%). Top specialties included psychiatry (46.2%), internal medicine (14.6%) and pediatrics (13.8%). A total of 16.9% had training in computer science or information technology and 40.8% in statistics. Nearly half (46.9%) had no formal training in AI and were self-taught. Those with training in AI received it through vendors or at work. Sixty to seventy percent thought AI would provide diagnostic aid or treatment recommendations, but half did not feel adequately trained to safely use AI in practice. Over 70% thought it could help with administrative tasks. More than 80% were worried about errors, misinformation, or biases in the data. Conclusion There is a growing sense that AI in medicine could be helpful with specific tasks. Ongoing training, education, and study are needed to determine how AI will best integrate into clinical practice.
ER  -

Abstract

Related

Cite