Ai for Healthcare
Course Features
Duration
2 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Effort
6 hours per week
Teaching Type
Instructor Paced
Course Description
Course Overview
Live Class
Human Interaction
Personlized Teaching
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
By understanding the impact of current and emerging AI technologies—including global trends and regulatory constraints—healthcare professionals can drive decision-making, elevate patient care, and improve profitability and performance
Whether you want to gain the knowledge to invest in AI projects that can move healthcare research ahead faster and with greater predictability, design secure solutions for patients and customers, or develop enhanced products related to medical services, t
Target Students
Technology-driven sectors where AI applications are critical, including healthcare, medical services, medical devices, pharmaceuticals, biotechnology, ed tech, IT, real estate, and telecommunications
CEO, CIO, chairman, director, associate director, senior director of health care, pharmaceuticals, medical devices, information technology, and other relevant industries
General manager, product manager, marketing manager, account manager, operations manager, project manager of healthcare, biotechnology, ed tech, and medical devices
Founder, co-founder of healthcare, medical services, and pharmaceutical industries
Course Instructors
Associate Prof Ngiam Kee Yuan
Faculty NUS Yong Loo Lin School of Medicine
Prof Dean Ho
Faculty NUS Yong Loo Lin School of Medicine
Dr Feng Mengling
Faculty NUS Yong Loo Lin School of Medicine