AI in Medical Imaging and Diagnostics: Current
Trends and Challenges

AI in Medical Imaging and Diagnostics: Current
Trends and Challenges

This course explores the transformative role of AI in medical imaging and diagnostics, covering key technologies like machine learning, deep learning, and computer vision. Participants will learn to analyze medical images, detect diseases, and evaluate AI models while understanding ethical considerations and industry challenges.

Register Before 3/July/2025 (6:00 PM)

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Programming in Python

This course is a concise yet comprehensive program tailored for B.Tech/MCA/BCA/M.Tech students and corporate professionals. Covering Python fundamentals, control flow, functions, file handling, and object-oriented concepts, participants gain hands-on experience to code, analyze data, and develop applications efficiently. No prior experience required, making it ideal for beginners and experienced programmers alike.

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Program Date

7 July, 2025 –
18 July, 2025

Learning Format

Online Live
Learning

Program Duration

40Hrs (24 Hrs Theory and 16 Hrs Lab)

Course Price

Academic/Professional
₹500.00

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Course Objectives:

  • To introduce the principles of image processing and its role in medical diagnostics.
  • To explore AI, machine learning, and deep learning techniques in analyzing medical images.
  • To understand disease detection through computer vision and image segmentation methods.
  • To provide hands-on experience with medical imaging tools and AI-based diagnostic models.
  • To study advancements in AI for virtual health assistants and early disease detection.
  • To discuss ethical considerations, challenges, and future trends of AI in healthcare.

Course Curriculum

  • Learn the basic concepts and techniques for processing and analyzing medical images.

  • Explore core AI technologies and their applications in medical imaging.

  • Understand how to handle and interpret different types of medical imaging data.

  • Discover how computer vision aids in identifying diseases through image analysis.

  • Study methods to improve image clarity for better diagnostic accuracy.

  • Learn to isolate specific regions in medical images for focused analysis.

  • Understand machine learning applications and their impact on medical diagnostics.

  • Learn to assess the performance and reliability of AI models in medical imaging.

  • Explore foundational models that power medical imaging solutions.

  • Study the advancements and milestones of AI technology in the healthcare sector.

  • Learn about AI-driven virtual assistants and their role in patient care.

  • Understand AI methods for early disease detection and decision support.

  • Explore strategic implementations and the challenges of integrating AI in healthcare.

  • Discuss the ethical considerations for deploying AI technologies in medical practice.

Program Outcomes

Understand the fundamentals of image processing and AI applications in medical imaging.

Evaluate AI models and their effectiveness in medical imaging
tasks.

Apply machine learning and deep learning techniques for disease detection and diagnostics.

Explore the evolution and current trends of AI in healthcare and diagnostics.

Analyze medical images using segmentation and enhancement techniques for improved accuracy.

Recognize ethical considerations and challenges of AI integration in medical practice.

Certification Benfits

  • Enhanced career opportunities
  • E&ICT Adacemy, IIT Kanpur Certification
  • Recognition and credibility in the industry
  • Skill development and professional growth

Prerequisites

  • No experience is required. But fundamental knowledge of C/C++ and statistics would be helpful.

Admission Closes on 5 March 

Skills Covered

  • Business Strategic & Analytics
  • Operations Management
  • Decision Making Tools
  • Finance & Economics
  • Marketing Management
  • Organizational Behavior and Design
  • Human Resource Management
  • Breakthrough Management
  • Management Communication
  • Green Manufacturing
  • Ethics & Values in Business
  • Interpersonal Skills & Leadership
  • Vision to Execution Entrepreneurship
  • Micro and Macro Economics
  • Leadership & Decision Making
  • Frontier Technologies in Manufacturing
  • Strategies for Managing Innovation
  • Technology Management
  • Advance Materials
  • Automation & Robotics in Manufacturing
  • Computer Integrated Manufacturing Systems

Know your faculty

Prof. Amey Karakare

Prof. Amey Karakare is a Head Of The Department (HOD) for CSE branch at IIT Kanpur. Developed and maintains Prutor, a renowned Learning Management System (LMS) for programming courses, enhancing the learning experience for students and streamlining tasks for instructors since 2013. Recognized with prestigious awards including the 1989 Batch Faculty Award from IITK Alumni Association and the Best Faculty of the Year 2018 award from the Computer Society of India’s Mumbai Chapter. Offers popular online Python courses that have garnered significant popularity among Indian students and faculty members. Conducts Faculty Development Workshops on diverse topics, including Python programming, Machine Learning, and High-Performance Computing, contributing to educational advancement. Key involvement in high-impact projects sponsored by government agencies, such as setting up Rashtriya Avishkar Labs in over 150 schools and leading the Electronics and ICT Academy at IIT Kanpur, dedicated to training faculty and students.

Who Should Enroll?

  • This is an intensive 40 Hour training programme, is being organized for faculty and doctoral students of various domains, including engineering,
    science, management, and finance. It is also open to working professionals from industry / R&D organizations.

Course Coordinator & Mentors

Principal Coordinator

  • Prof. M. P. Singh, Chief Investigator, E&ICT Academy, and Professor NIT Patna
  • Dr. Shyam Singh Rajput, Assistant Professor, NIT Patna

List of Resource Persons

  • Prof. Sumantra Dutta Roy, IIT Delhi
  • Prof. Surya Prakash, IIT Indore
  • Prof. M. P. Singh, NIT Patna
  • Prof. K. V. Arya, ABV-IIITM Gwalior
  • Dr. Rishav Singh, IIT Patna
  • Dr. Shyam Singh Rajput, NIT Patna

Course Fee

TOTAL PROGRAM FEE

For Academic (Faculty / Students) /Industry Professional : ₹500 (Inc. GST)

  • Course Type: Online Live Learning
  • Certificate: Yes
  • Start Date: 7th to 18th July 2025
  • Duration: 40hrs (24 Hrs Theory and 16 Hrs Lab)
  • Deadline: 3/July/2025 (6:00 PM)

Data Science Course Fee

  • A bachelor's degree with an average score of at least 50%
  • Prior knowledge or experience in programming and mathematics
  • 2+ years of formal work experience (preferred)

Best Suited For

  • Software Engineers
  • Freshers
  • BI Developers

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Important Dates

22nd September, 2022 (Thursday)

  • Online portal for application opens

18th November, 2022 (Friday)

  • Online portal for application closes

18th November, 2022 (Friday)

  • Receipt of letters of recommendation by Referees closes

23rd November, 2022 (Wednesday)

  • Last date of receipt of physical applications

26th November, 2022 (Saturday)

  • Shortlisting candidates for written test

11th December, 2022 (Sunday) (tentative)

  • Written test at 4 locations (Delhi, Calcutta, Mumbai, Chennai)

14th December, 2022 (Wednesday)

  • Shortlisted candidates for personal interview

1st January, 2023 (Sunday)

  • Personal interview at IIT Kanpur

03rd January, 2023 (Tuesday)

  • Selected candidates for admission

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FAQs

E&ICT Academy, IIT K Certification is considered highly valuable and with hands on experience, getting a job would become that much more easy. 

  • B.Tech/MCA/BCA/M.Tech Students
  • Working Professionals from Corporate

No

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