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Related Experiment Video

Updated: May 8, 2026

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation
14:04

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation

Published on: August 26, 2011

Differences in Exhibited Emotions between Junior Residents and Senior Doctors: Using an Artificial Intelligence-Based

Naoto Matsuda1,2, Sonoko Kirinoki1,2, Gen Takagi1

  • 1Department of General Medicine and Health Science, Nippon Medical School.

Journal of Nippon Medical School = Nippon Ika Daigaku Zasshi
|May 6, 2026
PubMed
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Senior physicians show more facial expressions and engagement during patient interviews than junior residents. An AI tool revealed differences in surprise expressions, suggesting its use in medical education for improved interviewing skills.

Area of Science:

  • Medical Education Technology
  • Artificial Intelligence in Healthcare
  • Clinical Communication Analysis

Background:

  • Current medical interviewing training relies on subjective methods.
  • Facial expressions are linked to patient outcomes but understudied in medical education.
  • Need for objective tools to analyze physician-patient interactions.

Purpose of the Study:

  • To investigate differences in facial expressions between senior physicians and junior residents during medical interviews.
  • To evaluate the utility of an AI-based facial expression analysis tool in medical education.

Main Methods:

  • Recruited healthcare professionals from Dokkyo Medical University Saitama Medical Center (Nov 2017-Oct 2018).
  • Utilized 'Kokoro Sensor,' an AI tool analyzing facial expressions into seven emotions.
Keywords:
artificial intelligencefacial emotion recognitionfacial expression

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Last Updated: May 8, 2026

Brain Imaging Investigation of the Neural Correlates of Emotion Regulation
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Published on: August 26, 2011

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome
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Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

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  • Compared interview duration and AI-analyzed facial emotion proportions between junior residents and senior physicians.

    • Main Results:

    • Senior physicians had significantly shorter interview times (11.79 min) than junior residents (18.95 min).
    • Physicians' faces were recognized by AI for longer durations by senior physicians (21.6%) vs. junior residents (9.4%).
    • Senior physicians displayed significantly more 'surprise' expressions (15.9%) compared to junior residents (4.9%).

    Conclusions:

    • Significant differences exist in facial expressions and engagement between junior and senior physicians during interviews.
    • AI-based facial expression analysis provides objective data for medical training.
    • This technology can enhance the education of medical students and residents in patient communication.