AINS graduate specialization
Healthcare AI specialization
The Healthcare AI track prepares cohorts to apply machine learning and NLP in regulated clinical-adjacent contexts: imaging pipelines, cohort analytics, and human–AI collaboration in decision support. Courses emphasize measurement discipline, fairness awareness, and realistic deployment constraints—not practicing medicine.
Partners license all three courses as a concentration students complete after core AI foundations, or pilot a subset aligned with local accreditors and clinical partners.
In the reference graduate layout, this cluster occupies nine specialization credits toward a ~36-credit degree; your registrar defines official titles, prerequisites, and stack rules.
What institutions get
- Evaluate imaging and population-health models with clinically plausible protocols (education / simulation).
- Communicate limitations, bias risks, and governance hooks for CDS-style tools.
- Package artifacts institutions can map to graduate certificates or degree concentrations.
Courses in this cluster
| Code | Course | Overview | LMS | Buy |
|---|---|---|---|---|
AINS6100 | AI in Medical Imaging | Details | Open LMS | Buy license |
AINS6101 | Predictive Analytics in Population Health | Details | Open LMS | Buy license |
AINS6102 | AI for Clinical Decision Support | Details | Open LMS | Buy license |