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Medical AI & Imaging with Soft Robotics - 15 Days

Medical AI & Soft Robotics - 15 Days ₹149. Build AI diagnostic & soft robots.

Duration: 15 Days
Location: Offline / Online (Anywhere in India)
Code: MEDAI-101
₹149
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Course Overview

Program Description

15-day intensive internship on medical AI, imaging, and soft robotics. Develop AI models for medical data analysis, implement wearable sensors for health monitoring, and build magnetic microrobots for drug delivery and precision medicine applications.

Skills You'll Learn

Medical AI
Medical Imaging
Deep Learning
CNN
Wearable Sensors
Health Monitoring
Soft Robotics
Magnetic Microrobots
Drug Delivery
FEA Simulation
TensorFlow
PyTorch
OpenCV
DICOM

Projects You'll Work On

Live Project: AI Diagnostic & Drug Delivery Soft Robot

Build a complete integrated system with: Medical image processing and disease detection using deep learning, Wearable sensor data analysis and classification, Design and fabrication of soft actuators, Development of magnetic microrobots, Finite element simulation of soft robots, Integration of AI with soft robotic drug delivery.

Program Modules

1

D1: Introduction to Medical AI & Imaging

Overview of medical AI, imaging modalities (X-ray, CT, MRI, PET), clinical applications.

2

D2: Medical Image Processing

DICOM/NIfTI, image preprocessing, segmentation, registration. Process medical images.

3

D3: Deep Learning for Medical Imaging

CNN architectures, transfer learning, multi-class classification for disease detection.

4

D4: AI for Disease Detection

Build CNN/ResNet models for disease classification, evaluation metrics (AUC-ROC, F1).

5

D5: Wearable Sensors for Health Monitoring

Sensor types (PPG, ECG, EEG, temperature), signal conditioning, data acquisition.

6

D6: Health Data Analysis

Signal processing, feature extraction, classification for health monitoring, anomaly detection.

7

D7: Introduction to Soft Robotics

Soft robotics fundamentals, materials (PDMS, hydrogels), actuation (pneumatic, magnetic).

8

D8: Soft Actuators & Fabrication

Design and fabrication of soft actuators, pneumatic networks, magnetic particles.

9

D9: Magnetic Microrobots

Design and control of magnetic microrobots for drug delivery and medical applications.

10

D10: Finite Element Simulation

FEA for soft robots, COMSOL/Abaqus, deformation analysis, stress analysis.

11

D11: Control of Soft Robots

Modeling, simulation, and control of soft robots, closed-loop control.

12

D12: Integration - AI + Soft Robotics

Combining AI diagnostics with soft robotic drug delivery systems.

13

D13: Testing & Validation

Testing protocols, validation in simulated environments, performance evaluation.

14

D14: Project Development

Build complete AI diagnostic + soft robotic system. Full system integration and testing.

15

D15: Project Presentation & Certification

Final project demo, viva voce, course wrap-up. Present prototype and receive certificate.

Key Features

Live Project: AI Diagnostic & Drug Delivery Soft Robot
Complete Source Code Access
Hands-on Sessions (Offline/Online)
ISO 9001:2015 Certified Certification
1 Real Project
Project Report & Documentation
Video Tutorials
GitHub Portfolio
Sensor Access
Simulation Access

What You'll Learn

Process medical images using Python
Build CNN models for disease detection
Analyze wearable sensor data
Design soft actuators
Develop magnetic microrobots
Apply FEA for soft robots
Integrate AI with soft robotics

Examination Details

Exam Name Full Marks Pass Marks
Module-wise Assessment 100 40
Practical Lab Assessment 100 40
Project Evaluation 100 40
Project Viva 100 40
Medical AI & Imaging with Soft Robotics - 15 Days

Internship Details

Duration: 15 Days
Company: NextVision Infotech
Industry: Engineering & Technology
Location: Offline / Online (Anywhere in India)
Available Seats: 25
Course Code: MEDAI-101

Prerequisites

  • Basic Python programming knowledge
  • Understanding of basic biology/medicine
  • Interest in AI and soft robotics
  • Biomedical or Engineering background preferred

Target Audience

  • B.Tech/M.Tech Biomedical Engineering students
  • B.Tech/M.Tech Robotics/Automation students
  • B.Tech ECE/EEE/CSE students
  • AI/ML researchers
  • Medical device professionals

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