Skip to main navigation
Skip to search
Skip to main content
Charles Sturt University Research Output Home
Home
Researchers
Research Organisations
Research Outputs
Datasets
Prizes
Activities
Press/Media
Impacts
Equipment
Search by expertise, name or affiliation
ChatGPT in nuclear medicine education
Geoffrey Currie
,
Kym Barry
Dentistry and Medical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
24
Citations (Scopus)
Overview
Fingerprint
Prizes
(1)
Fingerprint
Dive into the research topics of 'ChatGPT in nuclear medicine education'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Nuclear Medicine
100%
Medicine Education
100%
Chat Generative Pre-trained Transformer (ChatGPT)
100%
Academic Integrity
18%
GPT-3.5
18%
Enhanced Learning
9%
Learning Development
9%
Student Cohorts
9%
Student Performance
9%
Skill Development
9%
Cheating
9%
Artificial Intelligence
9%
Teaching Institutions
9%
Science Course
9%
High-order
9%
Poor Performance
9%
Higher Learning
9%
Medicine Students
9%
Academic Writing
9%
Writing Assignments
9%
Mean Performance
9%
Writing Task
9%
Turnitin
9%
Artificial Intelligence Algorithm
9%
Research Expectations
9%
Scientific Writing
9%
Chatbot
9%
Authentic Writing Task
9%
Plagiarism Detection Tools
9%
High Skills
9%
Social Sciences
Medical Technology
100%
Artificial Intelligence
40%
Skills Development
20%
Plagiarism Detection
20%
Medicine and Dentistry
Nuclear Medicine
100%
Alanine Aminotransferase
40%
Neuroscience
Nuclear Medicine
100%
Alanine Aminotransferase
40%
Pharmacology, Toxicology and Pharmaceutical Science
Alanine Aminotransferase
100%
Biochemistry, Genetics and Molecular Biology
Artificial Intelligence
100%