AI and IoT in Medical Devices

AI and IoT in Medical Devices

Course Objective:

Ø To provide foundational knowledge of AI and IoT applications in medical devices.

Ø To enable participants to understand the integration of AI and IoT in medical device design and manufacturing processes.

Ø To demonstrate practical use cases and hands-on exercises for implementing AI and IoT in healthcare solutions.

Ø To encourage innovation and collaboration among participants from diverse backgrounds.

Ø To familiarize participants with regulatory and ethical considerations in AI and IoT-based medical devices.

Participants eligibility : Industries, Startups, Researchers, Academicians, and Student

Training Type: Concept Learning + Practice + Review and Doubt Clearing

Mode : hybrid

Date: 28th and 29th April 2025

Timing: 10:00am to 05:00pm

Course Fee: 1000/-

Last Date for Registration: 25th April 2025.

Course Outcomes

Ø Be able to implement basic AI models for analyzing medical data.

Ø Gain hands-on experience with IoT frameworks and tools for prototyping connected medical devices.m

S. No	Module Content	Resource Person
DAY 1
1	Fundamentals and Applications of AI and IoT in Medical Devices(10.30 to 12.00)	Dr. A. Balaji Ganesh,Scientist, AMTZ
	Introduction to AI and IoT in Medical Devices
2	IoT architectures & Interfaces(12.00 to 01:30)	Dr. A. Balaji Ganesh,Scientist, AMTZ
	Data and Connectivity in IoT for Medical Devices
3	AI Models in Healthcare Applications(2.00 to 3.30)	Mr. L. Kuldeep, Gen AI Engineer, PAL Genie Technologies Private Limited ·
	Applications in medical imaging, predictive analytics, and anomaly detection. Case study: AI-based diagnostic systems
4	Ethical and Regulatory Considerations(3.45 to 5.00)	Dr. A. Balaji Ganesh, Scientist, AMTZ
	Regulatory landscape for AI and IoT in healthcare (e.g., CDSCO, FDA, GDPR). Addressing privacy, security, and ethical concerns.
DAY 2
5	Integration, Challenges, and Practical Implementation(10.30 to 12.00)	Mr .I. Gladwin Gen AI Engineer, PAL Genie Technologies Private Limited ·
	Architecture of AI-IoT systems. Frameworks and tools for integration (e.g., TensorFlow, Edge AI platforms).
6	Practical Session: Implementing AI Models in Medical Devices(12.00 to 1.30)	Mr.L.Kuldeep, Mr.I Gladwin Gen AI Engineer, PAL Genie Technologies Private Limited ·
	Building a basic machine learning model for health data (e.g., heart rate classification). Deploying AI models on IoT devices.
7	Building an IoT Prototype for Medical Devices(2.00 to 3.30)	· Dr.A.Balaji Ganesh ,Mr. L. Kuldeep, Mr. I. Gladwin
	Setting up and data acquisition from sensors. Visualizing sensor data using IoT dashboards
8	End-to-End System Development(3.45 to 5.00)	· Dr.A.Balaji Ganesh,Mr. L. Kuldeep, Mr. I. Gladwin
	Developing a simple AI-IoT medical device prototype. Integrating AI models into IoT workflows.