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Related Experiment Video

Updated: Jan 15, 2026

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

Published on: January 28, 2020

From Conversations to Clinical Insight: Charting the Future of Generative AI-Guided Revision Rhinoplasty

Partha Pratim Ray¹

¹Department of Computer Applications, Sikkim University, Gangtok, Sikkim, India. ppray@cus.ac.in.

Aesthetic Plastic Surgery

|January 13, 2026

Summary

Advanced large language models (LLMs) show promise in revision rhinoplasty consultations but require specialized, ethically aligned Surgical-LLMs for safe surgical decision-making. Future development should focus on clinical validation and domain-specific safeguards.

Area of Science:

Medical Artificial Intelligence
Natural Language Processing in Surgery
Patient Consultation Technology

Background:

Keywords:

Clinical decision support Empathy and patient communication Multimodal medical AI Revision rhinoplasty Surgical large language models

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General-purpose large language models (LLMs) are increasingly explored for medical applications.
Revision rhinoplasty consultations present unique emotional and technical challenges.
Evaluating the efficacy and limitations of current LLMs in surgical contexts is crucial.