AI Applications in Healthcare

Overview

This free online AI in Healthcare course introduces core concepts of Artificial Intelligence (AI) and its applications in health and healthcare services. The journey begins with basic concepts of Artificial Intelligence, such as types of AI, how it works, and why it matters to technology and human decision making. After that, and in particular Generative AI, you will learn more about Large Language Models (LLMs) and ChatGPT. The ethical questions and some future directions to help with intelligent content creation and communication systems will also be examined.The free AI in Healthcare course will also explore the application of AI regarding the implications of AI in healthcare. You will gain a deeper understanding of how AI is transforming the development of medications, patient diagnosis and treatment, medication monitoring and adherence, and health management functions, ultimately leading to more precise and customized care. You will also use a real-world case study on AI to read pneumonia on medical images, thereby gaining a deeper understanding of data cleaning, model creation, and evaluation in medical image analysis. Finally, the risks, challenges, and ethical dilemmas of AI in health care will be addressed, as well as forward development, career opportunities, and research relevant to the responsible development of AI technology for health care delivery.

Syllabus

Foundations of Artificial Intelligence

In this module, you will obtain a solid understanding of how Artificial Intelligence (AI) changes technology and human decision-making by studying the fundamental ideas, kinds, functions, and significance of AI.

Fundamentals of GenAI,LLMs and ChatGPT

This module covers working principles, applications, ethical challenges, and future trends shapingintelligent content creation and communication systems across GenAI, LLMs, and ChatGPT.

AI for Healthcare Applications

In this module, you will learn how Artificial Intelligence (AI) is transforming healthcare through medication development, diagnosis, treatment, patient monitoring, and health management systems, enhancing precision, effectiveness, and the provision of individualized care.

Casestudy

The module covers a real-world case study on AI-driven pneumonia identification, exhibiting data preprocessing, model creation, and evaluation for effective medical picture analysis utilizing Machine Learning approaches

Risks, Challenges, Ethics and Future of AI Healthcare

This module examines the operational, technological, and ethical difficulties of AI in healthcare. You will also learn about new developments, career paths, and research opportunities that will help shape the industry's responsible future.