Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis - Top-Institutions - MDSpire

Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis

  • By

  • Srinivasagam Prabha

  • Bernardo Gabriele Collaco

  • Cesar Abraham Gomez-Cabello

  • Syed Ali Haider

  • Ariana Genovese

  • Zhihui Fang

  • Nadia Wood

  • Sanjay Bagaria

  • Cui Tao

  • Antonio Jorge Forte

  • July 14, 2026

Share

Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Surgery
    • Digital Health

  • #2

    Yale School of Medicine / Yale New Haven Hospital
    Yale School of Medicine / Yale New Haven Hospital

    New Haven, Connecticut

    Key Differentiators

    • Surgery
    • Clinical Investigation

Original Source(s)

Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis

  • by Srinivasagam Prabha, Bernardo Gabriele Collaco, Cesar Abraham Gomez-Cabello, Syed Ali Haider, Ariana Genovese, Zhihui Fang, Nadia Wood, Sanjay Bagaria, Cui Tao, Antonio Jorge Forte

  • July 14, 2026

Related Content

A staged adoption pathway for intraoperative imaging in brain tumor surgery: cost-effectiveness and accessibility in resource-limited neurosurgical settings

Short term detection of de novo gastroesophageal reflux disease after laparoscopic sleeve gastrectomy

Pilot development with preliminary validation of a skills suturing score: essential suturing skills