Artificial Intelligence Applied to Medical Diagnosis
Applies machine learning and deep learning to medical diagnosis and biomedical imaging.
Program Overview
A programme in health, medical technology, and data science, aimed at understanding the fundamental principles of artificial intelligence (machine learning and deep learning) as applied to the clinical field.
Available in person, at a distance, or in a hybrid format.
Learning Objectives
Understand the fundamental principles of artificial intelligence (machine learning and deep learning) applied to the clinical field.
Analyze and process complex medical data (medical imaging, ECG/EEG signals, electronic patient records).
Develop and evaluate predictive diagnostic models and biomedical image segmentation models.
Integrate ethical, regulatory (GDPR, CE marking/FDA clearance), and health-data security constraints into the deployment of AI solutions.
Collaborate effectively within multidisciplinary teams (physicians and engineers).
Entry Requirements
Fees & Enrolment
The fee for this programme is published on the fees and tuition page.
See programme fees AdmissionsQuick Info
- Level
- Certificate
- Delivery
- Hybrid
- Duration
- 3 months (including a 5-day intensive block)
- Credits
- —
- Department
- Research, Data & Technology
- Language
- EN / FR