Welcome to this captivating presentation on the cutting-edge intersection of artificial intelligence (AI), prevention, and diagnosis. Today, we embark on a journey through the realms of innovation and collaboration, where AI takes center stage in reshaping the landscape of healthcare.
Through intelligent algorithms, we have the potential to unlock the power of early intervention, to intercept ailments before they fully manifest, and to empower individuals with the knowledge and tools to safeguard their well-being.
But how do we unleash the full potential of AI in prevention and diagnosis? And what are the aspects of forging partnerships between private and public actors to bring the latest research on AI at use in a clinical context?
PROGRAM
5 minutes: Welcome and brief presentation of the program
20 minutes: Technical University of Denmark/ Child and Adolescent Mental Health Center, Copenhagen University Hospital
This presentation will focus on the latest research in assistant AI within child psychiatry and the collaboration between researchers from DTU and experts from the psychiatry Center at Bispebjerg Hospital. Together, they will delve into the realm of artificial intelligence in prevention, with a specific focus on reducing waiting times for investigation and treatment for children and young people with obsessive compulsive disorder. Furthermore, they aim to explore the possibilities of utilizing AI in preventative measures by bringing wearables into a preventive perspective and how research and feasibility studies can come into play and impact the clinical workflows.
20 minutes: University of Copenhagen
This presentation will be about a rapidly field of research: AI-based eye tracking of radiologists and surgeons. Eye tracking can be used in classic AI-in-medicine areas of interest such as computer-aided diagnosis and treatment planning as well as for solving new challenges such as physicians’ fatigue motioning, radiologist training, and human error detection. This presentation will be about the UCPH research on radiologists’ eye tracking, examples from the literature, and pathways for practical integration of AI-assisted eye tracking.
10 minutes: Questions from the audience
5 minutes: Wrap-up and thanks for today
Dette arrangement er medfinansieret af Uddannelses- og Forskningsstyrelsen
Bulat Ibragimov - Associate Professor, Department of Computer Science - University of Copenhagen
Nicole Nadine Lønfeldt - Senior Scientist - The Capital Region of Denmark - Child and Adolescent Mental Health Center, Copenhagen University Hospital, Mental Health Services CPH, Copenhagen, Denmark