Digital Anatomy: Transforming Medical Training and Unlocking Healthcare Knowledg
Medical education has evolved from static textbooks and traditional bedside teaching to dynamic, technology-driven learning environments. Advances in imaging technologies, especially Magnetic Resonance Imaging (MRI), combined with Artificial Intelligence (AI) and Machine Learning (ML), now enable unprecedented precision in visualising and quantifying human anatomy. This lecture will explore Professor Silvester Czanner's work at the intersection of medical imaging, applied computer science, and education, showing how high-fidelity anatomical representation enhances diagnostic practice and healthcare professionals' training. Drawing on research in MRI science, segmentation, classification, and 3D visualisation, as well as applications ranging from in-vitro fertilisation and cellular imaging to embryonic organ development and early glaucoma detection, he will illustrate how AI-driven methods can transform healthcare. The lecture will also examine the integration of these technologies into medical education, highlighting AI-powered personalised learning platforms that adapt to individual capabilities and learning styles. This convergence of advanced imaging, AI, and educational innovation signals a new era of precision in medicine and training, with profound implications for the future of healthcare.
Tea and coffee will be served beforehand and a complimentary drink will be available afterwards.
Venue: School of Education 016