AI in Healthcare Applications and Digital Transformation

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Mentor Based

Program Syllabus

Module 1

About This Course

The AI in Healthcare Applications and Digital Transformation program is crafted to provide deep insights into how AI can revolutionize healthcare through advanced diagnostics, personalized medicine, and efficient healthcare management. It prepares participants to be at the forefront of designing and implementing AI solutions that enhance patient outcomes and transform healthcare systems.

Module 2

Aim

This program aims to equip PhD scholars and academicians with the expertise required to lead and innovate in the integration of artificial intelligence within healthcare. It focuses on the transformative impact of AI technologies in improving patient care, operational efficiencies, and driving digital transformation in healthcare settings.

Module 3

Program Objectives

Understand the application of AI technologies across various aspects of healthcare.
Develop AI solutions that improve patient outcomes and healthcare workflows.
Navigate ethical, privacy, and regulatory challenges in healthcare AI.
Foster digital transformation in healthcare settings through innovative AI applications.
Lead interdisciplinary teams in deploying AI-driven healthcare projects.

Module 4

Program Structure

Foundations of AI in Healthcare
- Overview of AI technologies in healthcare.
- Ethical considerations and regulatory compliance.
- Data privacy and security in medical AI applications.
AI-Driven Diagnostics and Patient Care
- Implementing AI in diagnostic imaging and pathology.
- AI in genomics and personalized treatment plans.
- Robotics and AI in surgery and patient care.
Healthcare Data Analytics
- Big data in healthcare: management and analysis.
- Predictive analytics for patient care optimization.
- Real-time health monitoring and wearable AI technologies.
Digital Health Solutions
- Telemedicine and remote patient monitoring.
- AI in healthcare administration and fraud detection.
- Integrating AI with electronic health records (EHRs).
Innovations and Future Trends in Healthcare AI
- Emerging AI technologies in healthcare.
- The role of AI in public health and epidemiology.
- Future challenges and opportunities in healthcare AI.
Capstone Project
- Designing an AI healthcare solution addressing a real-world challenge.
- Collaboration with healthcare professionals and data scientists.
- Presentation of the project to a panel of experts.

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.