Introduction to Big Data AI and IoMT in Healthcare

What you'll learn
Understand why there is a need for big data, artificial intelligence (AI) and the internet-of-medical-things (IoMT) in healthcare
Articulate the basic concepts of big data, AI and IoMT
Identify the current and upcoming trends in big data, AI and IoMT
Describe the benefits and challenges of AI-powered healthcare
Identify the ethical considerations of AI in healthcare
Gain an insight into future trends of big data, AI and IoMT in healthcare
Requirements
No prerequisites needed. This course is for beginners who want to know about the current hype and trends in big data, artificial intelligence (AI) and the internet-of-medical-things (IoMT), and how technological innovations in these fields can potentially benefit healthcare and patients.
Description
Ever wondered if your healthcare needs will be taken care of by a robot in the future? How can our health data be safeguarded in the new normal? Will Artificial Intelligence (AI) and connected devices be the mainstream of healthcare in the future? Join me as we explore the answers to these questions.
How long will it take to complete this course?
Approximately 1.5 hours of lectures and a quiz.
What is this course about?
The volume of health-related data is increasing exponentially in the digital age. In an era of big data development, there are significant challenges around data sharing and data integration. With advancements in smartphone technologies, diagnostics, and wearable devices, it is only a matter of time whereby a "smart home" will become a "smart hospital-in-a-home". Now, more than ever, there is a need to be able to harness these data in an appropriate manner for health management and research.
In this course, you will gain an understanding of the basic concepts of big data, AI and the internet-of-medical-things (IoMT), and why these are important to the health and healthcare sectors. You will explore the current big data landscape and how the IoMT can benefit patient and healthcare management through the use of compatible devices, apps and research platforms. Lastly, you will investigate some of the benefits, challenges, and ethical considerations of implementing AI innovations in healthcare.
Who this course is for
Beginners who are interested to gain a basic understanding of big data, artificial intelligence and IoMT
Digital health trainees and students
Aspiring data analysts and data scientists
Computer/IT professionals who want to gain a understanding of these upcoming fields
Medical, allied health and public health professionals
Medical, healthcare and health-related students and trainees
Health-related professionals (e.g. health information management, health informatics)
Business professionals/analysts who want to understand the basics and application trends in these fields
Persons in digital health start-ups who want to gain an insight into the innovation trends in these fields
Mid-career professionals who want to switch careers and want to gain a basic understanding of these upcoming fields to work in these domains
Homepage

https://www.udemy.com/course/introduction-to-big-data-ai-and-iomt-in-healthcare/

Introduction to Big Data AI and IoMT in Healthcare Fast Download
Introduction to Big Data AI and IoMT in Healthcare Full Download