Skip to main navigation
Skip to search
Skip to main content
NYU Scholars Home
Help & FAQ
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Putting ChatGPT's Medical Advice to the (Turing) Test: Survey Study
Oded Nov
, Nina Singh, Devin Mann
Technology Management and Innovation
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Putting ChatGPT's Medical Advice to the (Turing) Test: Survey Study'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Nursing and Health Professions
Likert Scale
100%
Health Service
100%
Health Hazard
100%
Study Participant
100%
Averaging
100%
Electronic Health Record
100%
Artificial Intelligence
100%
Keyphrases
Putting
100%
Turing Test
100%
Medical Advice
100%
Chatbot
100%
Chat Generative Pre-trained Transformer (ChatGPT)
100%
Patient Questions
33%
Patient-provider Communication
16%
Patient Trust
16%
Health-related
8%
Low Risk
8%
Likert Scale
8%
Healthcare
8%
Laypeople
8%
Patient Engagement
8%
Weakly Positive
8%
Artificial Intelligence
8%
Positive Mean
8%
Average Response
8%
Crowdsourcing Platform
8%
Electronic Health Records
8%
Clinical Role
8%
Word Count
8%
Likert Score
8%
Medicine and Dentistry
Health Hazard
100%
Health Care
100%
Study Participant
100%
Electronic Health Record
100%
Likert Scale
100%
Psychology
Likert Scale
100%
Healthcare
100%
Artificial Intelligence
100%
Turing Test
100%
Mathematics
Healthcare
100%
Representative Sample
100%
Likert Scale
100%
Biochemistry, Genetics and Molecular Biology
Electronic Health Record
100%
Artificial Intelligence
100%