Agentic AI in Healthcare Training in Dhaka, Bangladesh

This course explores how Agentic AI (AI systems that act autonomously with reasoning, planning, and tool-use capabilities) can transform healthcare. Participants will learn how agentic AI can be applied to areas like clinical decision support, patient monitoring, diagnostics, drug discovery, and operational efficiency. The course emphasizes both the technical foundations of agent-based AI systems (built on LLMs and multi-agent frameworks) and their practical applications in healthcare, while addressing regulatory, ethical, and safety considerations.

Foundations of Agentic AI in Healthcare

Introduction to Agentic AI

• From Generative AI to Agentic AI

• Agent frameworks (LangChain Agents, AutoGPT, crewAI, LangGraph)

• Role of autonomy in healthcare AI

Healthcare Context & Data Ecosystem

• Overview of healthcare systems and workflows

• Types of healthcare data: EMRs, imaging, genomics, IoT data

• Challenges: interoperability, data quality, privacy

AI Agents in Clinical Support

• Autonomous assistants for doctors (clinical note summarization, decision support)

• Agents for patient-facing virtual health assistants

Advanced Applications & Risk Management

Agentic AI for Diagnostics & Drug Discovery

• Imaging agents for radiology and pathology support

• Multi-agent collaboration for drug design and molecular simulation

Healthcare Operations & Patient Engagement

• Agents for hospital resource optimization (scheduling, triage)

• AI-powered clinical trial recruitment agents

• Personalized treatment planning and follow-up monitoring

Risk, Ethics, and Compliance

• Safety, transparency, and explainability in agentic AI

• HIPAA/GDPR/FDA/EMA regulations for autonomous systems

• Bias, fairness, and accountability in patient care

Hands-on Exercises

Group Presentations & Feedback

Summary and Conclusion