AI In Healthcare

The course combines Artificial Intelligence in Healthcare with specialisation on “AI in Medicine” for Medical Professionals.

To provide doctors and healthcare professionals with a grounded understanding of the potential for AI innovations in the healthcare industry.
Explore the types of AI technology, its applications, limitations, and industry opportunities.
Doctors and medical professionals can get equipped with some AI tools that can increase their efficiency in day-to-day patient / diagnostic services.
Those medical professionals engaged in medical research can get equipped with key AI tools that will provide effective research and produce efficient research outputs.
Understand use of AI in diagnosis, patient monitoring, and care, and explore how it can be applied to enhance healthcare data management.
Understand the practical adoption challenges of AI in hospital processes and resource management.
To prepare physicians, physician assistants, medical students, nurse practitioners, and veterinarians to lead their respective service domains more professionally with better productivity in the era of digital medicine.
To facilitate collaboration between healthcare providers and computer science professionals.

42 hours of live, interactive online sessions with convenient timings designed for professionals.
Certificate program and you get dual Certificate from Universal Ai University, Only AI University of the country and HSSC, MSDE, GOI.
Crafted for doctors and medical professionals with exposure to AI tools for enhanced clinical practice, improved patient outcomes, efficiency in day-to-day patient / diagnostic services, and advanced medical research capabilities.
Insight into legal, ethical, and practical applications of AI in healthcare.
Delivered by AI experts, AI trained persons in Medical Fraternity, persons with experience of AI project implementation in Healthcare.
Delivered using relevant case studies, Live Project demo and AI tools relevant in Healthcare such that all Doctors and Medical professionals can enhance their practice qualitatively, effectively provide healthcare services, improve revenue and medical research can be handled more productively.

The program is designed specifically for physicians, clinicians, medical students, and other healthcare professionals. The academic delivery will be with illustrations that relate to medical profession.
It will cover practical topics of modern workflows and patient interactions, as well as legal, ethical, and logistical concerns specific to the use of clinical AI..
The program will have relevant case studies featuring AI in healthcare to illustrate the key concepts of how machines learn and how AI-based medical technologies can be used to improve health outcomes and streamline clinical workflows.
Case studies, live demos, and real-world projects.
Comprehensive LMS access, assignments, and project-based evaluations.

After completing this programme, participants:

Have thorough understanding of Potential for AI innovations in the healthcare.
Can use of AI in diagnosis, patient monitoring, care and regular practice by medical professionals.
Will be able to perform medical research, report writing, peer review using AI tools more efficiently.
Enhance healthcare data management for enhanced diagnosis and patient monitoring.
Can be key facilitator in implementing AI in Healthcare establishment.

Delivered by experienced trainers with Data science background, medical professionals with AI expertise and those attached to application of AI in healthcare industry.
Program Director is a well known Data Scientist with credential for AI based application development and business analytics for several industries.
Course Director is a Doctor who has adequate experience of AI applicability for medical professionals.

Implementing AI In Healthcare : Aimed at equipping the doctors and other medical professionals who are at decision making level or support decision hierarchy for bringing about transformation triggered by AI and Data Analytic tools. They can potentially be in leading roles in the organisation.
Upskilling Doctors for effective output: Medical professionals can efficiently and effectively provide their services and medical research can be handled more productively.
Career Progression : Will facilitate career progression for those in the healthcare industry.
Career in healthcare industry : Freshers can get benefitted and make a career in Healthcare Industry to support those who are triggering transformation.
Healthcare analytics profession: Tech tools users as support service providers can also make career progression through this program with focus on Healthcare Industry Data Analytics.

Foundations:

Introduction to Artificial Intelligence, Big Data Analytics and evolution.
Understanding of healthcare and clinical data in the context of AI tools.
Basics of Generative AI, including tools like ChatGPT, GPT 4.0, Perplexity, Gemini etc. for healthcare, Art of prompting and various prompts used by medical professionals.
Understanding Natural Language Processing (NLP) and AI tools for clinical precision.

Clinical Application and use in medical profession:

AI tools for improving clinical notes, effective diagnostic insights, Clinical Queries and Precision Diagnosis.
AI in diagnostics, medical imaging, genomics, pathology and patient monitoring.
Effective and ethical AI for Literature Search, Review, Formatting citations, research paper writing, peer review of articles with AI assistance for constructive criticism.
AI for engaging posts on social media, creating educational videos, contents for research.

Analytics and Technology Integration:

Healthcare Data Analytics using AI, data structure, data models.
Basic exposure to some analytic tools for healthcare analytics.
Electronic health records and AI, Data privacy and security in healthcare.
Fundamentals of machine learning in AI context, deep learning.
Application of machine learning in healthcare, Model selection, evaluation.
Data science in healthcare -Basics of data science, Top tools such as GenAI, Orange, Kaggle, and no-code platforms.
Understanding of computational medicine and basic coding concepts to enhance their medical practice.
Integration with legacy applications - AI tools to enhance output from MS Excel and dashboard generation, GenAI tools for MS Powerpoint, AV content generation.

AI Implementation:

Evaluating AI Applications in Healthcare - Evaluation metrics, Interpretability, Validation, Bias and fairness in AI applications and verification of AI models.
Benefits and challenges of AI in healthcare.
Ethics and Regulatory Guidelines on the use of AI.
Practical challenges of deploying AI in healthcare.
Deploying AI in Practice - Integration of AI with existing healthcare systems, Challenges and opportunities of implementing AI in healthcare.
Case studies on Real-World Applications of AI in Medicine and future prospect.
Workshops, and capstone projects tailored to participants' organizations.