Mickaël Ringeval
Biographic Data
| ID | 6496062 |
|---|---|
| NAME | Mickaël Ringeval |
| GIVEN NAMES | Mickaël |
| FAMILY NAME | Ringeval |
| SIGNATURE | RINGEVAL M |
| AFFILIATIONS | HEC Montréal |
| ORCID | 0000-0002-6397-5660 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Identifying necessary conditions for medical students’ adoption of AI in the future practice
BACKGROUND: As artificial intelligence (AI) technologies become increasingly embedded in healthcare, the readiness of future physicians to adopt these tools is of growing concern. While prior studies have examined predictors of technology acceptance, less is known about the conditions that are essential, rather than merely influential, for medical students to form strong intentions to use AI-based health technologies (AIHTs) in clinical practice.…
Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine
The study underscores the necessity of enhancing students' competences related to dHealth and considering their perceptions of the role of AI in the medical profession. In particular, the low levels of experiential dHealth competences highlight a promising starting point for training future physicians while simultaneously strengthening their practice of EBM. Accordingly, we suggest revising medical curricula to focus on providing students with pr…
No prominent works on this page.
Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine
The study underscores the necessity of enhancing students' competences related to dHealth and considering their perceptions of the role of AI in the medical profession. In particular, the low levels of experiential dHealth competences highlight a promising starting point for training future physicians while simultaneously strengthening their practice of EBM. Accordingly, we suggest revising medical curricula to focus on providing students with pr…
Identifying necessary conditions for medical students’ adoption of AI in the future practice
BACKGROUND: As artificial intelligence (AI) technologies become increasingly embedded in healthcare, the readiness of future physicians to adopt these tools is of growing concern. While prior studies have examined predictors of technology acceptance, less is known about the conditions that are essential, rather than merely influential, for medical students to form strong intentions to use AI-based health technologies (AIHTs) in clinical practice.…
Artificial Intelligence in Healthcare and Education (2 works) · AI in Service Interactions (1 work) · Alternative medicine (1 work) · Artificial Intelligence in Healthcare (1 work) · Biomedical and Engineering Education (1 work) · Data collection (1 work) · Electronic Health Records Systems (1 work) · Family medicine (1 work) · Medical education (1 work) · Medicine (1 work)