Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Fadi Munshi

Biographic Data

ID7720485
NAMEFadi Munshi
GIVEN NAMESFadi
FAMILY NAMEMunshi
SIGNATUREMUNSHI F
AFFILIATIONSUnited Arab Emirates University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Ten tips to harnessing generative AI for high-quality MCQS in medical education assessment

    Open Access•M Magzoub, Imran Zafar et al.•ARTICLE•Medical Education Online•2025

    Generating high quality MCQs is time consuming and expensive. Many strategies are applied to produce high quality items including sharing of item banks, training of item writers and automatic item generation (AIG). Generative AI, when used with precision, has proven to reduce significantly both cost and time without compromising quality. Medical educators encounter numerous obstacles when using AI to generate MCQs of good quality. We searched the…

  • An online clinical examination for fellowship certification during the Covid‐19 pandemic

    Open Access•Fadi Munshi, Arwa Alsughayyer et al.•ARTICLE•Medical Education•2020

No prominent works on this page.

  • An online clinical examination for fellowship certification during the Covid‐19 pandemic

    Open Access•Fadi Munshi, Arwa Alsughayyer et al.•ARTICLE•Medical Education•2020

  • Ten tips to harnessing generative AI for high-quality MCQS in medical education assessment

    Open Access•M Magzoub, Imran Zafar et al.•ARTICLE•Medical Education Online•2025

    Generating high quality MCQs is time consuming and expensive. Many strategies are applied to produce high quality items including sharing of item banks, training of item writers and automatic item generation (AIG). Generative AI, when used with precision, has proven to reduce significantly both cost and time without compromising quality. Medical educators encounter numerous obstacles when using AI to generate MCQs of good quality. We searched the…

Innovations in Medical Education (2 works) · Internal Medicine (2 works) · Medical education (2 works) · Medicine (2 works) · 2019-20 coronavirus outbreak (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Betacoronavirus (1 works) · Certification (1 works) · Computer Science (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae