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Timetable
Monday to Friday: 8:00am - 17:00pm
Saturday: 8:00am - 13:00pm
¿WHAT IS AI IN HEALTH?
Set of methods (machine learning, deep learning, NLP) that extract parameters from clinical data to support tasks such as diagnosis, prognosis, triage and automation processes.
¿What are the most common use cases?
¿What colors are used?
¿Risks and how to mitigate them?
¿WILL AI REPLACE THE DOCTOR?
Co-design, hands-on training, simple workflows, continuous feedback, and demonstrating concrete benefits (fewer clicks, fewer repetitive tasks).
No. It's decision support. Clinical judgment and final responsibility remain with the professional.
Imaging (RX/CT/MRI detection), diagnostic support, triage, risk prediction, remote monitoring, clinical history summary, clinical assistants, coding and billing
Errors/hallucinations, bias, cybersecurity, data drift, poor integration. Mitigation: human oversight, usage limits, continuous monitoring, alerts, model updates, and contingency plans.
