MUST Medical Students Shine in Poster Competition on Artificial Intelligence in Medicine

2024/10/14

On October 7th 2024, the Faculty of Medicine Bachelor of Medicine and Bachelor of Surgery (MBBS) students held an exciting poster competition on Artificial Intelligence in Medicine for their year-one students as part of their Language & Communications (L&C) module. The competition is the culmination of their progress in improving their communication skills and offered students the opportunity to present their own forward-thinking ideas on AI’s growing role in healthcare and medical education.

Student poster presentations. Topics include:

  1. AI-Powered Personalized Learning in Medical Education

  2. AI for Studying Anatomy and Physiology

  3. AI for Efficient Time Management

  4. AI in medical simulations and virtual patients

  5. Dangers of AI bias and hallucinations in medicine (marginalisation)

  6. Examples of AI-assisted diagnostics

  7. Examples of AI assisted-surgical procedures

  8. Can AI replace the human touch?

  9. How can medical students use AI to improve their mental healthcare?

  10. Ethical concerns and regulation of LLMs in medicine.

Three prizes are awarded, one to the best poster and two good posters. The first-place best poster award went to a compelling presentation on AI in Personalized Learning in Medical Education, which highlighted how AI can help students navigate medical school education and also creating personalized learning pathways. Students shared their own experience in using AI to help them study, whilst warning of the pitfalls of bad study habits and over-reliance on AI softwares.

The two good poster awards went to:

  • Examples of AI-assisted diagnostics, which explored how AI can enhance diagnostic accuracy and efficiency.

  • AI for Studying Anatomy and Physiology, which demonstrated the potential for AI to support medical students in learning complex biological systems through interactive simulations.

Winning poster presentations. The best poster award went to Chun-Long Wong, Jiaxin Liu, Ruoxi Guo and Hongxuan Su for their presentation on AI-Powered Personalized Learning in Medical Education. The two good posters award went to AI for Studying Anatomy and Physiology, and AI-Assisted Diagnostics.

The L&C module is one of two longitudinal components of the MBBS program, designed to improve the communication skills of our medical students and develop skills which will be indispensable for our “Tomorrow’s Doctors” to practice with compassion. The module is co-ordinated by Dr. Olivia Monteiro, Dr. Daniel Baptista-Hon and Professor Brian Tomlinson.

Professor Niv Patil, Vice Dean of the Faculty of Medicine, praised the initiative:
"This competition reflects the ingenuity and forward-thinking mindset of our students. It’s exciting to see such creative approaches to integrating artificial intelligence into the future of medicine. In the fast-growing field of medical AI, it is important that our students get an understanding of its benefits and limitations early on in their medical studies. The faculty is incredibly proud of their achievements, and these ideas will undoubtedly contribute to the evolving landscape of healthcare."