With the rapid development of Artificial Intelligence (AI), the Academy is keen to embrace the transformative changes and to promote the responsible and effective use of these technologies in healthcare settings. To address this, the Task Force on Artificial Intelligence under the Professionalism and Ethics Committee (PEC) of the Academy has created this portal to share resources and training materials on developments, professionalism, ethical and legal aspects of AI in healthcare. This portal aims to serve as a resource platform for use by Academy Fellows and other healthcare practitioners.
What you’ll find here:
- Cutting-edge insights: Stay informed with articles, tutorials, and case studies from AI experts.
- Ethical considerations and best practices: Explore the responsible use of AI technologies in healthcare settings.
- HKAM event recordings: Review of AI-related seminars and workshops organised by the Academy.
HKAM Event Recordings
Warm reminder: Please note that the recordings are hosted under eHKAM LMS and are only accessible to Academy Fellows who have registered for an eHKAM ID. Please refer to the webpage eHKAM ID for more details.
Reading Materials
- Artificial intelligence (AI) in healthcare and research (2018)
- Legal liability for machine learning in healthcare (2018)
- Artificial intelligence for genomic medicine (2020)
- Ethics and governance of artificial intelligence for health: WHO guidance (2021)
- Guidance on the ethical development and use of artificial intelligence (2021)
Acknowledgement: The reading materials are created by other institutions and are available online. We hereby express our appreciation to the content providers for their contributions.
Collaboration and Resources Sharing
HKUMed AI Resource Hub
The EdTech and SIMHSE Team of the Li Ka Shing Faculty of Medicine of the University of Hong Kong (HKUMed) has produced a series of videos (listed below) to enhance Generative AI literacy among students, teachers and healthcare professionals and facilitate the application of AI technologies in teaching and learning. Explore the resources at: HKUMed AI Resource Hub
- Introduction to Large Language Models
- Capability of Generative AI and AI Hallucination
- “High resolution” Electronic Health Record (EHR) Studies Enabled by LLM
- Current Use Cases and the Future of AI in Healthcare
- Diagnostic Accuracy of AI Tools & Biases in AI Usage
- Ethical and Legal Aspects of GenAI in Real-life Clinical Setting
Conference Review: Governance of Medical AI (9-11 May 2023)
The Centre for Medical Ethics and Law (CMEL) of the University of Hong Kong (HKU) organised an international conference titled “Governance of Medical AI” from May 9 to 11, 2023, addressing some key topics, including Regulatory Governance of Medical AI; Data Governance, with focus on Genomics; and Collaboration and Participation in Regulatory Governance. Review the event at: Governance of Medical AI - Centre for Medical Ethics and Law (hku.hk)
Acknowledgement: Previously, the Academy’s PEC, the CMEL at HKU, and HKUMed reached a consensus on collaboration in organising AI-related conferences, events, and initiatives to guide the clinical application of AI. We would like to take this opportunity to express our gratitude to the EdTech & SIMHSE team of HKUMed and the CMEL of HKU for their generous support in sharing the valuable resources.
You are welcome to provide feedback / suggestions on relevant topics by sending email to [email protected].