
AI In Medicine











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


