Thorough understanding of Potential for AI innovations in the healthcare
Use of AI in clinical medicine, patient monitoring, clinical queries, precision diagnosis (like Pathology, Radiology, Genomics etc) and care,
Use of some basic AI tools like LLM, NLP, Generative AI etc. in healthcare service quality improvement
Use of AI in regular practice by medical professionals
How medical research, report writing, peer review can be enhanced using AI tools
Use of AI in legacy applications, social media contents for efficient output
Exploring how it can be applied to enhance healthcare data management for enhanced diagnosis and patient monitoring,
Understand and evaluations of various AI applications
Practical adoption and Deployment challenges
Practical demonstration with capstone for leading digital transformation
To provide doctors and healthcare professionals with a grounded understanding of the potential for AI innovations in the healthcare industry.
To explore the types of AI technology, its applications, limitations, and industry opportunities.
To make the doctors and medical professionals equipped with some AI tools that can increase their efficiency in day-to-day patient / diagnostic services
To make those medical professionals engaged in medical research equipped with key AI tools that will provide effective research and produce efficient research outputs.
To make the medical professionals proficient in using AI in legacy application, social media engagements and medical education for enhanced productivity and enhanced revenue.
To examine the use of AI in diagnosis, patient monitoring, various clinical services, subspecialities and care, and explore how it can be applied to enhance healthcare services.
To understand the practical adoption challenges of AI in healthcare establishment processes and resource management.
To prepare physicians, physician assistants, medical students, nurse practitioners, to lead their respective service domains more professionally with better productivity in the era of digital medicine.
To facilitate collaboration between healthcare providers and technology professionals who may be engaged by establishment for implementation.
Total Duration : 42 Hours (4 Hrs per week) / Two & half Months
Model of Delivery : Online
Eligibility : Physicians, Clinicians, Medical Students
(Postgraduate), Graduate Nurse,
Certification : HSSC
43 hours | 15 Modules | 3 Section Assessment | 1 Research Project | 1 Capstone Project
SECTION A : INTRODUCTION TO AI (8)
M1 : Introduction to Artificial Intelligence and Big Data Analytics
M2 : Integrating Artificial Intelligence in Clinical Medicine
M3 : Introduction to Generative AI in Medicine
Post Section Assessment
SECTION B : APPLICATION OF AI FOR MEDICAL PROFESSIONALS (14)
M4 Natural Language Processing (NLP) in Clinical Medicine
M5 AI in Diagnosis and Medical Subspecialties
M6 AI for Medical Research Paper Writing and Peer Review
M7 AI-Driven Healthcare Data Management and Analytics
M8 GenAI Tools for Enhancing Legacy Applications
M9 Agentic AI, CDSS and its Application in HealthCare
Post Section Assessment
Project Work - Writing Research Paper Using AI
SECTION C : IMPLEMENTING AI IN HEALTHCARE
M10 Foundations of Machine Learning (ML) and Deep Learning (DL)
M11 Data Science for Healthcare and AI Integration
M12 Practical Deployment of AI in Healthcare
M13 Evaluation, Validation and Regulation of AI in Healthcare
M14 Real-World Impact and Future Directions of AI in Medicine
M15 AI in healthcare capstone project
Post Section Assessment
Capstone Project Work
Healthcare Sector Skill Council, MSDE, GOI
Universal AI University
SECTION A : INTRODUCTION TO AI