Louise Katrine Kjær Weile, midwife and Master of Health Science, is currently a PhD-student at the University of Southern Denmark. As part of her clinical work and during her PhD, Louise has been occupied with the development of a digitalized method to obtain self-reported information from the patients and has achieved to bring this data into clinical practice.
Artificial intelligence (AI) and machine learning are revolutionizing our daily lives. Algorithms are increasingly embedded in many devices surrounding us and following us wherever we go. Even in our sleep, data can be streamed from various sensors and analyzed to wake us up at the optimal time. While some industries - such as finance, retail and manufacturing - have already made great progress in putting these algorithms to work, we’re now only starting to witness success stories emerging from the healthcare industry as well. This session will present 3 use cases demonstrating the impact of AI and machine-learning in real-world clinical settings and share the lessons learned from their implementation processes. This session will also encourage an interactive exchange of innovative ideas and best practices.