AI for Healthcare Professionals
Build AI literacy for healthcare, from imaging and predictive analytics to safe implementation.
Organised by Technology Innovation Hub (TIH), IIT Guwahati
7 sessions · 10.5 hours
Duration
Online / hybrid
Format
Schedule
Tuesday and Friday, 6:30–8:00 PM IST; session 7 on Tuesday of Week 4. Contact CFT for the next cohort's start date.
About this programme
Build AI literacy for healthcare, from imaging and predictive analytics to safe implementation.
A seven-session programme introducing predictive and generative AI, medical imaging, clinical-information workflows, remote monitoring and responsible adoption. Guided exercises use synthetic examples and conclude with an implementation plan for a hospital unit.
What you can take forward
- Distinguish healthcare AI use cases, limitations and risks
- Evaluate imaging, risk dashboards, generative AI outputs and monitoring tools
- Develop a one-page implementation plan with privacy, safety and governance checks
Programme outline
Seven sessions. A practical view of the field.
Doctors, nurses, allied health professionals, researchers, public-health and hospital managers
Session schedule
Tuesday and Friday, 6:30–8:00 PM IST; session 7 on Tuesday of Week 4. Contact CFT for the next cohort's start date.
How each session is structured
Each 90-minute session combines 45 minutes of faculty instruction, 30 minutes of guided demonstration or case study, and 15 minutes of discussion.
- 0190 minutes
AI Literacy for Modern Healthcare
Coverage
AI/ML, predictive and generative AI; clinical use cases; limitations and human responsibility.
Applied activity
Classify example healthcare AI tasks by risk and benefit.
- 0290 minutes
Medical Imaging and Diagnostic AI
Coverage
Radiology, pathology and ophthalmology examples; classification; segmentation; validation metrics.
Applied activity
Inspect a synthetic medical-image analysis workflow.
- 0390 minutes
Predictive Analytics and Personalised Care
Coverage
EHR data; risk scores; stratification; longitudinal modelling; fairness and missingness.
Applied activity
Interpret a sample clinical risk dashboard and calibration chart.
- 0490 minutes
Generative AI and Clinical Information Workflows
Coverage
LLMs; prompt design; documentation; literature synthesis; retrieval; hallucinations; verification.
Applied activity
Generate and fact-check a synthetic clinical note and patient handout.
- 0590 minutes
Remote Monitoring, Biosignals and Digital Health
Coverage
Wearables; ECG/PPG concepts; sensor reliability; alerts; telehealth and interoperability.
Applied activity
Review simulated vital-sign trends and alert thresholds.
- 0690 minutes
Responsible AI, Privacy and Clinical Safety
Coverage
Bias; consent; explainability; cybersecurity; data protection; ICMR/WHO principles; clinical oversight.
Applied activity
Audit a hypothetical AI deployment against a risk checklist.
- 0790 minutes
Healthcare AI Implementation Workshop
Coverage
Use-case selection; vendor diligence; workflow redesign; ROI; governance; pilot metrics and monitoring.
Applied activity
Develop a 1-page AI implementation plan for a hospital unit.
Suggested assessment
Brief pre/post knowledge checks and a final applied case or workflow exercise. Suggested completion threshold: at least 80% attendance plus submission of the final exercise.
Partners
AI in healthcare and vision sciences, underwater exploration, robotics, sensors, cyber-physical systems and tech/product development.
Explore partner programmesFocus domains
The domain labels describe this programme’s catalogue alignment, not a separate promise of availability in every field.