Generative AI in Healthcare Training in Thimphu, Bhutan

This course explores how Generative AI (GenAI) is revolutionizing healthcare by enabling drug discovery, clinical decision support, personalized treatment, medical imaging enhancement, and patient engagement. It balances technical foundations, practical applications, and ethical/regulatory considerations, equipping participants with the skills to design and evaluate AI-driven healthcare solutions.

Foundations & Clinical Applications

Introduction to Generative AI in Healthcare

• Overview of Generative AI (LLMs, diffusion models, GANs)

• AI trends shaping healthcare and life sciences

Clinical Data & Documentation

• Automating clinical note generation and summarization

• Medical coding and billing support

• Virtual assistants for doctors and patients

Imaging & Diagnostics

• Enhancing medical imaging with GenAI (X-rays, MRI, CT scans)

• Synthetic data generation for rare conditions

Drug Discovery, Patient Care & Compliance

Drug Discovery & Personalized Medicine

• Molecular structure generation for drug design

• AI in genomics and precision medicine

• Case Study: AI-assisted vaccine development

Patient Engagement & Virtual Health

• Chatbots and conversational AI for patient queries

• Personalized treatment recommendations

• AI-driven clinical trial recruitment

Risk, Ethics, and Regulatory Considerations

• Data privacy and security (HIPAA, GDPR in healthcare AI)

• Ethical concerns: bias, transparency, explainability

• FDA/EMA perspectives on AI-enabled medical devices

Hands-on Workshop

• Building a prototype: Clinical note summarizer / Patient chatbot

• Hands-on Exercises

Summary and Conclusion