Artificial Intelligence in Healthcare
Course description:
The healthcare service system plays a pivotal role in the medical domain that
constitutes massive
demands of human life. To evolve, healthcare providers in developing countries are
using
intelligent technologies like artificial intelligence (AI) and machine learning
techniques.
Regarding AI integration, advancements in healthcare have led to research on
human-centered
healthcare intelligent systems. AI technologies exert influence on the development of
intensive
care and supervisory activities in hospitals and clinics.
Recommended Books:
1. Ranschaert ER, Morozov S, Algra PR, editors. Artificial intelligence in medical
imaging:
opportunities, applications and risks. Springer; 2019 Jan 29.
2. Agah A. Introduction to medical applications of artificial intelligence. CRC Press;
2013
Nov 6.
3. Consoli S, Recupero DR, Petkovic M. Data science for healthcare. Berlin: Springer
International Publishing; 2019.
Course Learning Outcomes:
After the course, the students will develop a holistic understanding of AI’s growing
role in health
care through an immersive online experience that draws on real-world case studies.
The course
will explore how AI strategies have been successfully deployed within the sector. The
students
will learn to ask the right questions when evaluating an AI technique for potential use
within their
own context.
Assessment system:
Quizzes 10-15%
Assignments 5-10%
MSE 30-40%
ESE 40-50%
Lecture Plan:
S.NO. Lecture Topic Quizzes Assignments
1. Introduction to clinical data and healthcare systems
2. Fundamentals of AI in healthcare 1
3. Integration of AI in medical imaging and home-care
technologies
4. Evaluations of AI Applications in healthcare
5. AI assisted decision making analysis and health
1.
services
6. Integration of AI with advanced technologies, such as
blockchain
7.AI and Telehealth 3
8. Integration of AI in the management of healthcare
setups
9. AI for medical diagnosis 4
10. AI and innovations in the Internet of Medical Things
