The influence of Menopausal Reproductive Stage on AI Supported Clinical Reasoning for Musculoskeletal Presentations
PhD student Alexandra Leone at Global Health
The project
Research overview
This project will investigate whether menopausal reproductive stage information influences how artificial intelligence systems reason through musculoskeletal presentations. Using controlled, matched clinical scenarios across multiple AI models, the study will evaluate whether reproductive stage context alters diagnostic interpretation, clinical recommendations, or patterns of decision making.
The role
What you would work on
Expected outputs
Authorship, Publication
Criteria
Who this researcher is looking for
These are the criteria this researcher set for this project. Applications are reviewed against these and nothing else. Preferred criteria affect only their own share of the assessment.
Required
Previous research experience
RequiredMarked as required on the posting form.
Prior research experience
Preferred
Scientific writing
High importanceSkill
Generative AI
High importanceSkill
Organizational skills
High importanceSkill
Time management skills
High importanceSkill
Communication skills
High importanceSkill
Research interest in Women’s Health
Medium importanceHow closely the student's stated interests line up with this project.
Research interest
GPA and academic standing
Medium importanceWeighted on the posting form. No minimum was set, so this reports academic standing rather than filtering on it.
Academic standing
Extracurricular involvement
Medium importanceClubs, volunteering, teaching, and other commitments outside coursework.
Custom criterion
Preferred skills
Prior research experience is required for this position.
Terms
Compensation
What you will be asked
Application requirements
This position asks only for your ResearchBridge profile. There are no additional questions.
Who you would work with
About the researcher
Alexandra Leone
PhD student, Global Health
Alexandra is a national award-winning PhD student in Global Health at McMaster University and a trainee with the McMaster Institute for Research on Aging (MIRA). Her work focuses on the intersection of musculoskeletal health and reproductive aging. With training in health research methodology, she conducts primary data collection, evidence syntheses, and mixed-methods studies. Her work spans multidisciplinary and multinational studies, with an emphasis on impactful research that can inform practice and improve care.