AI in Diagnostic & Medical Devices
Revolutionizing Medicine: Pioneering AI in Diagnostic & Medical Devices
Skills you will gain:
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.
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.
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.
What you will learn?
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Module 1: AI in Diagnostics and Medical Devices
- Introduction to AI in Diagnostics
- Workflow of AI-Enabled Devices
- Adoption Drivers and Common Pitfalls
Module 2: Data and Signal Fundamentals
- Types of Data in Diagnostic Systems
- Data Quality and Preprocessing
- Ground Truth and Reference Standards
Module 3: Model Approaches for Diagnostic Tasks
- Detection and Classification
- Segmentation and Measurement Support
- Anomaly Detection and Fault Monitoring
Module 4: Evaluation and Performance Reporting
- Core Performance Metrics
- Calibration and Thresholds
- Contextual Performance Reporting
Module 5: Clinical Validation and Deployment Readiness
- Validation Strategy
- Workflow Integration
- Building Trust in Deployment
Module 6: Safety, Reliability, and Risk Management
- Failure Modes and Safe Design
- Alarm Management and Reliability
- Incident and Corrective Action Planning
Module 7: Post-Deployment Monitoring
- Drift and Data Shift
- Ongoing Performance Oversight
- Controlled Updates and Change Management
Module 8: Governance and Compliance Readiness
- Documentation for AI-Enabled Devices
- Privacy and Security Basics
- Change Control and Lifecycle Governance
Intended For :
Geared towards professionals in medical technology, biomedical engineering, and related fields, as well as academicians and PhD scholars who have foundational knowledge in AI and are looking to specialize in its application in diagnostics and medical devices.
Career Supporting Skills