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Related Concept Videos

Psychosurgery01:30

Psychosurgery

Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
Historical Development of Psychosurgery
In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...

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Related Experiment Video

Updated: Jun 13, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
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Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

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Psychological Risk Assessment in Plastic Surgery via a DeepSeek Large Language Model: A Retrospective Cohort Study.

Yi-Dan Sun1, Xiang-Wen Xu2, Dan-Dan Liu1

  • 1Department of Plastic Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, People's Republic of China.

Aesthetic Plastic Surgery
|June 11, 2026
PubMed
Summary

An AI large language model, DeepSeek, shows promise in assessing psychological risks for plastic surgery patients. It accurately identifies patients with body dysmorphic disorder and those at risk of disputes, aiding preoperative assessments.

Keywords:
AI large language modelBody dysmorphic disorderPlastic surgery

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Published on: May 15, 2020

Area of Science:

  • Plastic Surgery
  • Artificial Intelligence
  • Psychological Assessment

Background:

  • Preoperative psychological risk assessment is crucial in plastic surgery.
  • High prevalence of body dysmorphic disorder (BDD) and limited screening tools pose challenges.
  • This study investigates the utility of an AI large language model (DeepSeek-LLM) for psychological risk stratification.

Purpose of the Study:

  • To evaluate the effectiveness of DeepSeek-LLM in assessing psychological risks in plastic surgery patients.
  • To compare AI-driven risk assessments with physician evaluations.
  • To identify key risk factors for postoperative disputes.

Main Methods:

  • Retrospective cohort study of 1826 patients.
  • Analysis of preoperative questionnaires and postoperative dispute data.
  • Comparison of DeepSeek-LLM risk scores with blinded plastic surgeon assessments using Bland-Altman analysis and Pearson correlation.

Main Results:

  • Patients with BDD and those experiencing postoperative disputes had significantly higher preoperative risk scores.
  • "Satisfaction with previous surgical outcomes" and "surgical financial stress" were key risk factors.
  • DeepSeek-LLM scores showed strong concordance with physician evaluations (Pearson r=0.883, p<0.001).

Conclusions:

  • DeepSeek-LLM is a promising tool for patient communication and risk assessment in plastic surgery.
  • The AI can generate patient profiles detailing needs, psychology, and economic status.
  • It can assist surgeons in preoperative discussions and risk assessment.