Digital health: Unlocking potential for AI in healthcare

Prof. Kelvin Tsoi and project team members speak at the panel titled ‘Conclusive Recommendations for Using AI Chatbots: Interdisciplinary Panel Discussion’.

Led by Prof. Kelvin Tsoi of the Jockey Club School of Public Health and Primary Care, the project titled ‘Worldwide Universities Network (WUN) Data Science Network/Cross-disciplinary Collaboration Forum for Digital Health Research’ aims to explore cross-disciplinary research in digital health. In late August, the project team, including researchers from WUN members Maastricht University, University of Leeds, and University of Southampton, along with those from The University of Sydney, The University of British Columbia, and the University of Reading, met in Hong Kong and took part in a series of events.

These included a breakfast session ‘AI Chatbots: Friend or Foe’ and a lunch session ‘Conclusive Recommendations for Using AI Chatbots: Interdisciplinary Panel Discussion’ held at the International Forum on Quality and Safety in Healthcare organised by BMJ, a British publisher of medical journals, and a seminar titled ‘Digital Health: An Opportunity for AI in Healthcare’ held at CUHK. All events focused on the latest advancements and applications of AI and other technologies in areas such as health management, health systems, elderly care, dementia detection, and clinical diagnosis. Participants gained valuable insights into cutting-edge research, innovative applications, and the challenges and opportunities in this rapidly evolving field.

The ‘Digital Health: An Opportunity for AI in Healthcare’ seminar was held at CUHK.