Exploring the Impact of Large Language Models on Diagnosing and Managing Obstetric Patients: A Pilot Study Utilizing Simulated Cases - Top-Institutions - DentalSpire

Exploring the Impact of Large Language Models on Diagnosing and Managing Obstetric Patients: A Pilot Study Utilizing Simulated Cases

  • By

  • Iason Psilopatis

  • Katharina Redling

  • Valeria Filippi

  • Sofia Kappos

  • Julius Emons

  • Beatrice Mosimann

  • Tibor A. Zwimpfer

  • April 27, 2026

  • 0 min

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Top Institutions in Obgyn

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Obstetrics and Gynecology
    • Maternal-Fetal Medicine
    • Artificial Intelligence in Medicine

  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Obstetrics and Gynecology
    • Maternal-Fetal Medicine
    • Biomedical Informatics

  • #3

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Obstetrics and Gynecology
    • Maternal-Fetal Medicine
    • Health Informatics

  • #4

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Obstetrics and Gynecology
    • Maternal-Fetal Medicine
    • Clinical AI Research

  • #5

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Obstetrics and Gynecology
    • Maternal-Fetal Medicine
    • Medical AI Research

Original Source(s)

Exploring the Impact of Large Language Models on Diagnosing and Managing Obstetric Patients: A Pilot Study Utilizing Simulated Cases

  • by Iason Psilopatis, Katharina Redling, Valeria Filippi, Sofia Kappos, Julius Emons, Beatrice Mosimann, Tibor A. Zwimpfer

  • April 27, 2026

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