AI in Diagnostic & Medical Devices

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Mentor Based

Program Syllabus

Module 1

About This Course

The Advanced AI in Diagnostic & Medical Devices program delves deep into the integration of AI with medical diagnostics and device development, preparing participants to pioneer advancements in medical technology. This comprehensive course covers everything from basic AI principles to complex applications in medical imaging, wearable tech, and robotic surgery, emphasizing innovation and practical application.

Module 2

Aim

This program is designed to provide PhD scholars and academicians with advanced expertise in the application of artificial intelligence in diagnostic and medical device technologies. It aims to foster innovation, enhance precision, and streamline processes within the medical device industry through cutting-edge AI applications.

Module 3

Program Objectives

Mastery in AI-driven medical technologies.
Expertise in regulatory and compliance frameworks.
Proficiency in the development and testing of AI-enhanced medical devices.
Leadership in healthcare technology innovations.
Advanced skills in interdisciplinary collaboration.

Module 4

Program Structure

Introduction to AI in Medical Devices
- Overview of AI technologies in healthcare diagnostics.
- Ethical considerations and regulatory challenges.
AI-Enhanced Medical Imaging
- Techniques in AI-driven imaging modalities.
- Case studies on AI in radiology, pathology, and oncology diagnostics.
Wearable Technologies and Patient Monitoring
- Development of AI-powered wearable diagnostics.
- Real-time data analysis and patient health tracking.
Robotic Devices for Surgery and Rehabilitation
- AI applications in surgical robotics.
- Enhancements in robotic devices for patient rehabilitation.
Machine Learning in Device Manufacturing
- ML algorithms for improving manufacturing processes.
- Quality control and predictive maintenance through AI.
Regulatory Compliance and Market Entry
- Navigating global regulatory frameworks for AI medical devices.
- Strategies for successful market entry and commercialization.
Capstone Project
- Development of an AI-driven medical device prototype.
- Critical analysis and testing, culminating in a peer-reviewed presentation.

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.