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Accepted for/Published in: JMIR AI

Date Submitted: Dec 17, 2025
Date Accepted: Jun 27, 2026

The final, peer-reviewed published version of this preprint can be found here:

Current Landscape of Generative AI Use as a Search Engine Among Resident Physicians: Cross-Sectional Study

Miwa T, Okamoto K, Nishizaki Y, Tokuda Y

Current Landscape of Generative AI Use as a Search Engine Among Resident Physicians: Cross-Sectional Study

JMIR AI 2026;5:e89750

DOI: 10.2196/89750

PMID: 42467814

PMCID: 13378904

Current landscape of generative artificial intelligence use as a search engine among resident physicians: Cross-sectional study

  • Toshiki Miwa; 
  • Koh Okamoto; 
  • Yuji Nishizaki; 
  • Yasuharu Tokuda

ABSTRACT

Background:

Acquiring generative artificial intelligence (GenAI) literacy and identifying physicians’ competencies that remain essential in the GenAI era are critical for resident physicians, who are highly susceptible to its influence, including those who are current non-users.

Objective:

This study examined the use of GenAI for medical consultation, AI literacy, and bedside behaviors in the management of infectious diseases among resident physicians.

Methods:

This cross-sectional study was conducted through an original questionnaire administered in January 2025 to participants of the General Medicine In-Training Examination, a nationwide computer-based test for postgraduate year-1 and year-2 resident physicians in Japan. Respondents’ attitudes toward GenAI use and their bedside behaviors in infectious disease management were assessed.

Results:

Of 9,179 examinees, 2,989 resident physicians (32.6%) from 546 hospitals completed the survey. A total of 1,124 participants (39.4%) reported using GenAI for medical consultation, while 1,726 (60.6%) were non-users. Only 144 users (13.0%) relied on it as a primary reference for differential diagnoses. Compared with non-users, users were more likely to understand limitations such as confabulation (74.1% vs. 58.4%) and to recognize competencies essential for future physicians in infectious disease management, including history-taking and physical examination (87.3% vs. 76.0%). Ethical considerations were less commonly addressed overall, with 47.3% examining fairness and 49.8% examining transparency. Awareness was greater among users than non-users (fairness, 56.3% vs. 41.5%; transparency, 58.9% vs. 43.8%).

Conclusions:

GenAI literacy among resident physicians in Japan remains limited, particularly among non-users. Given its rapid expansion, education on GenAI in clinical practice may be necessary for both users and non-users, emphasizing critical thinking and ethical considerations in patient care.


 Citation

Please cite as:

Miwa T, Okamoto K, Nishizaki Y, Tokuda Y

Current Landscape of Generative AI Use as a Search Engine Among Resident Physicians: Cross-Sectional Study

JMIR AI 2026;5:e89750

DOI: 10.2196/89750

PMID: 42467814

PMCID: 13378904

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