Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of different explanation methods in guiding healthcare experts for …
To make predictions and explore large datasets, healthcare is increasingly applying advanced algorithms of artificial intelligence. However, to make well-considered and trustworthy decisions, healthcare professionals require ways to gain insights in …
Izboljšanje razumljivosti in napovedne zmogljivosti modelov za oceno tveganja in podporo odločanju v kliničnem okolju
Glavna institucija gostiteljica: KU Leuven
Vodja: Katrien Verbert (KU Leuven, Odsek za informatiko)
Tuja institucija gostiteljica: Univerza v Mariboru