Artificial Intelligence and IoT for Healthcare 2024

Introduction

Artificial Intelligence and Internet of Things (AIoT) for Healthcare is a rapidly growing field that combines advanced technologies to improve healthcare outcomes. AIoT involves the integration of AI algorithms and IoT devices to collect, analyze, and interpret data from various sources in the healthcare industry. This technology has the potential to transform the way healthcare is delivered by enabling doctors and healthcare providers to make faster, more accurate diagnoses and treatment decisions.

This workshop aims to delve into the transformative potential of AIoT technology in healthcare services throughout the full lifecycle, encompassing hospitals, home, and community settings. Against the backdrop of population aging and smart healthcare, there is a higher demand for transformative healthcare services to address the issues of imbalanced healthcare resources and evolving patient needs. How to utilize AIoT to alleviate pressure on healthcare systems and provide personalized healthcare is the focus of this workshop.

Event Details

Date: 13 June 2024 (Thursday)
Time: 9:00 am - 5:35 pm HKT
Venue: Cheung On Tak Lecture Theater (LT-E), The Hong Kong University of Science and Technology
(HKUST Map | Google Map)
Registration: closed

Keynote Speakers and Panelists

Prof. Danny Ziyi Chen

Prof. Danny Ziyi Chen
Professor, University of Notre Dame

Prof. Shyam Gollakota

Prof. Shyam Gollakota
Thomas J. Cable Endowed Professor, University of Washington

Prof. Kensaku Mori

Prof. Kensaku Mori
Professor, Nagoya University

Invited Talk Speakers and Panelists

Prof. Rosa Chan

Prof. Rosa Chan
Associate Professor, City University of Hong Kong

Prof. Hongliang Ren

Prof. Hongliang Ren
Associate Professor, The Chinese University of Hong Kong

Dr. Dione Szeto

Dr. Dione Szeto
Chief of Service, Department of Anaesthesia and Operating Theatre Services, Tseung Kwan O Hospital

Prof. Chenshu Wu

Prof. Chenshu Wu
Assistant Professor, The University of Hong Kong

Prof. Hao Chen

Prof. Hao Chen
Assistant Professor, The Hong Kong University of Science and Technology

Prof. Mo Li

Prof. Mo Li
Professor, The Hong Kong University of Science and Technology

Prof. Can Yang

Prof. Can Yang
Associate Professor, The Hong Kong University of Science and Technology

Organizing Members

Prof. Gary Chan

Prof. Gary Chan
Professor, The Hong Kong University of Science and Technology

Prof. Hao Chen

Prof. Hao Chen
Assistant Professor, The Hong Kong University of Science and Technology

Prof. Albert Chung

Prof. Albert Chung
Professor, The Hong Kong University of Science and Technology

Prof. Qian Zhang

Prof. Qian Zhang
Chair Professor, The Hong Kong University of Science and Technology

Schedule

Time (HKT) Session
09:00-09:10 Opening
09:10-10:00 Keynote Talk 1 by Prof. Shyam Gollakota
Augmenting Human Auditory Perception with AI
10:00-10:25 Invited Talk 1 by Prof. Rosa Chan
AIoT for Comprehensive Physiological Monitoring: From Electrophysiology to Motor Function
10:25-10:50 Tea Break
10:50-11:40 Keynote Talk 2 by Prof. Kensaku Mori
How Generative AI Changes Medical Procedures?
11:40-12:30 Panel Discussion 1
Moderator: Prof. Albert Chung
Panelists:
Prof. Rosa Chan
Prof. Shyam Gollakota
Prof. Mo Li
Prof. Kensaku Mori
Prof. Can Yang
12:30-14:10 Lunch
14:10-15:00 Keynote Talk 3 by Prof. Danny Ziyi Chen
AI-based Healthcare Image Data Analysis: Challenges and New Approaches
15:00-15:25 Invited Talk 2 by Dr. Dione Szeto
Smart Hospital - an Overview
15:25-15:50 Invited Talk 3 by Prof. Hongliang Ren
Compliant Surgical Motion Generation and Perception Towards Intelligent Minimally Invasive Robotic Procedures
15:50-16:20 Tea Break
16:20-16:45 Invited Talk 4 by Prof. Chenshu Wu
Sensing AI for Digital Healthcare
16:45-17:35 Panel Discussion 2
Moderator: Prof. Gary Chan
Panelists:
Prof. Danny Ziyi Chen
Prof. Hao Chen
Prof. Hongliang Ren
Dr. Dione Szeto
Prof. Chenshu Wu

Organizer

CSE, HKUST

Co-organizers

6G@HK Research Centre funded by AoE Center for Medical Imaging and Analysis