Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?-Reference-Cited by-同舟云学术

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Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?

Published:2024-10 Issue: Volume:90 Page:105791
ISSN:2211-0348
Container-title:Multiple Sclerosis and Related Disorders
language:en
Short-container-title:Multiple Sclerosis and Related Disorders

Author:

Patel Mahi A.,Villalobos Francisco,Shan Kevin,Tardo Lauren M.,Horton Lindsay A.,Sguigna Peter V.,Blackburn Kyle M.,Munoz Shanan B.,Moog Tatum M.,Smith Alexander D.,Burgess Katy W.,McCreary Morgan,Okuda Darin T.^ORCID

Publisher

Elsevier BV

Reference24 articles.

1. Race and ethnicity on MS presentation and disease course;Amezcua;Mult. Scler.,2020

2. The role of ChatGPT in the advancement of diagnosis, management, and prognosis of cardiovascular and cerebrovascular disease;Chlorogiannis;Healthcare (Basel),2023

3. Is medical education ready for generation Z?;Eckleberry-Hunt;J. Grad. Med. Educ.,2018

4. Multiple sclerosis in the contemporary age: understanding the millennial patient with multiple sclerosis to create next-generation care;Hansen;Neurol. Clin.,2018

5. Gen Z during the COVID-19 crisis: a comparative analysis of the differences between Gen Z and Gen X in resilience, values and attitudes;Harari;Curr. Psychol.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The risks and benefits of using AI for diagnosis: beware of unconscious bias;Multiple Sclerosis and Related Disorders;2024-10

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