Abstract
In this study, the student will evaluate the accuracy and reliability of several LLMs (ChatGPT, Gemini, Claude, etc.) as adjunctive clinical tool for diagnosis, additional examinations, and treatment (real clinical cases).
Keywords
artificial intelligence
Biomedical Engineering
ERC sector(s)
LS Life Sciences
Name supervisor
Lechien Jerome
E-mail
jerome.lechien@umons.ac.be
Name of Department/Faculty/School
Surgery, Medical School
Name of the host University
University of Mons (UMONS)
EUNICE partner e-mail of destination Research
Eunice-WP4@umons.ac.be
Country
Belgium
Thesis level
Bachelor
Master
Minimal language knowledge requisite
English B1
Thesis mode
Hybrid
Length of the research internship
3 months
Financial support available (other than E+)
No