Accuracy of large language models in the management of real clinical cases in otolaryngology

Research Topic
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
Host Researcher Info
Name Surname
Lechien Jerome
E-mail
jerome.lechien@umons.ac.be
Name of Department/Faculty/School
Surgery, Medical School
EUNICE University
University of Mons (UMONS)
Country
Belgium
EUNICE contact e-mail
Eunice-WP4@umons.ac.be
Mobility additional info
Thesis mode
Hybrid
Length of the research internship
3 months
Financial support available (other than E+)
No
Applicant (Student) info
Current position at home university
Bachelor student
Master student
Minimal language knowledge requisite
English B1