Read: 3317
Date: Thursday, September 28, 2023
Time: 6:30 PM to 9:00 PM GMT +8 Kuala Lumpur, Singapore
Venue: The Innovation Centre, Level 2, SingHealth Tower, 10 Hospital Blvd., 168582
Join us for an enlightening panel discussion as we explore how pioneering technologies are revolutionizing the integration ofinto healthcare systems.
with its potential to transform clinical processes and disease detection, is on the cusp of a paradigm shift in health care. However, various challenges such as data scarcity, privacy concerns, stringent regulations, and fears that it may undermine the aspect of medicine have limited its widespread adoption.
In this interactive session, we will delve into innovative technological solutions that m to overcome these obstacles and pave the way for a more inclusive integration ofin healthcare.
Aga:
Date: Thursday, September 28, 2023
Time: 6:30 PM - 9:00 PM GMT +8 Kuala Lumpur, Singapore
Venue: A.L.I.C.E @ SGH Campus, Level 2, SingHealth Tower, 10 Hospital Blvd., 168582
Panel Speakers:
Moderator:
Dr. Liu Nan, Associate Professor,
Centre for Quantitative Medicine Programme in Health Services and Systems Research,
Duke-NUS Medical School.
Dr. Liu Nan is an esteemed Associate Professor at Duke-NUS Medical School's Centre for Quantitative Medicine and Programme in Health Services and Systems Research. As the Director of Digital Medicine Lab, his expertise lies in explnableand trustworthy applications across medical informatics, emergency care, cardiology, and health innovation. Recognized globally as a Top 2 Scientist by Stanford and Elsevier, he also serves on several prestigious editorial boards including npj Digital Medicine, BMC Medicine, IEEE Journal of Biomedical and Health Informatics, and PLOS Digital Health.
Speakers:
Dr. Yang Yinping, Senior Principal Scientist at A*STAR,
Director at Centre for Advanced Technologies in Online Safety CATOS,
Lead at Epidemic Preparedness Horizontal Technology Coordinating Office EP HTCO.
A passionate social technologist with a proven track record of driving innovations for both industry and public good initiatives, Dr. Yang Yinping holds the title of Senior Principal Scientist at A*STAR’s Institute of High Performance Computing. She leads CATOS, which spearheads Singapore's efforts in online safety, and also oversees EP HTCO med at epidemic management through technological advancements.
Dr. James Demmel, Professor,
University of California, Berkeley
Dr. James Demmel brings his expertise as a leading computer scientist to our panel discussion on scaling up deep neural networks trning across distributed systems or supercomputers.
Panel Themes:
Technology: MedTech Digital Health
Industry Focus: Health and Biomedical Sciences
Additional Events You May Be Interested In:
InsurTech in Healthcare MedTech and Digital Health Health and Biomedical Sciences
October 9, 2024
Register Here
Startup Semester Data Analytics Health and Biomedical Sciences
September 2, 2024
Register Here
Call for Applications FIRST: Fostering Innovation and Resources in Sustnable Tech-Translation - Interfaces Health and Biomedical Sciences
September 20, 2024
Apply Now
About SGInnovate:
Mission Leadership Partnerships Careers Press Room Whistleblowing Policy
Services Offered: Deep Tech Central Deep Tech Community Career Development Jobs Startup Growth Funding
Experience:
Events Learning Resources
Resources:
Insights FAQs
Contact Us:
32 Carpenter St., Singapore 059911
Connect With Us:
SGInnovate Privacy Policy Cookie Documentation Report Vulnerabilities
Consent to Cookies: By clicking 'ACCEPT ALL', you consent to the use of all cookies on this website. You can always adjust or revoke your consent through our 'Settings' button.
Privacy Policy Data Protection
Cookie Consent Documentation
Security Vulnerability Reporting
This article is reproduced from: https://www.sginnovate.com/event/empowering-ai-emerging-technologies-advance-use-ai-healthcare
Please indicate when reprinting from: https://www.623n.com/Plastic_surgery_hospital/Healthcare_Innovation_2023.html
Harnessing AI in Healthcare Innovations Navigating AI Challenges for Wider Adoption Revolving the Paradigm of Health Care with AI Integrating AI Solutions into Healthcare Systems Overcoming Obstacles in AI Healthcare Integration Exploring AI Potential and Limitations in Medicine