GenAI in Healthcare & Life Sciences
In this course, you'll learn how Generative AI (GenAI) is transforming healthcare, enhancing clinical practice, research, patient care, and operations, all while ensuring safety and compliance.
Segment 00: Welcome to the Course: Course Overview
Segment 01: Intro Video to Course
Segment 02: Intro Video Module Introduction
Segment 03: What is Clinical Decision Support with GenAI--
Segment 04: Opportunities _ Risks (Hallucinations_ Bias_ Oversight)-
Segment 05: Case Study AI in Sepsis Early Warning Systems
Segment 06: AI in Radiology & Pathology
Segment 07: Demo - Generating an Imaging Report with AI
Segment 08: Case Study- Mayo Clinic _ AI Radiology Workflow
Segment 09: AI for Clinical Documentation _ Coding
Segment 10: Demo Creating a Discharge Note with GenAI
Segment 11: AI Chatbots for Patient Communication
Segment 12: Reading - AI in Clinical Decision Support: Opportunities and Pitfalls
Segment 13: Reading - AI in Medical Imaging – Current Applications
Segment 14: Hands-On-Learning - Drafting a Discharge Note Using AI
Segment 15: Quiz - Automating Documentation & Patient Communication
Segment 15: Module Introduction
Segment 17: Accelerating Research with AI
Segment 18: Demo Summarizing Research Abstracts with GenAI
Segment 19: Best Practices & Risks in AI Literature Reviews
Segment 20: AI in Clinical Trial Design
Segment 21: Demo Using AI for Trial Recruitment Prediction
Segment 22: Case Study FDA-Approved AI-Assisted Trial Design
Segment 23: AI in Molecular Design _ Screening
Segment 24: Demo- Generating a Compound Library with AI
Segment 25: AI in Biomarker Discovery
Segment 26: Reading - The Role of Artificial Intelligence in Pharma R&D
Segment 27: Reading - Ethical and Regulatory Challenges of AI in Drug Development
Segment 28: Hands-On-Learning - AI-Enhanced Research Workflow Simulation
Segment 29: Quiz - AI in Drug Discovery and Biomarker Identification