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AI In Medicine

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Basic Scope of Program

  • 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

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Objective of the Program

  • 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.

 

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)

  • 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

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Dual Certification

  1. Healthcare Sector Skill Council, MSDE, GOI

  2. Universal AI University

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