People have to be in the loop when machine learning is adapted for medical use.
Read More
The MAITE project studied how artificial intelligence could be used to predict the multidisciplinary service use of the elderly.
Read More
A model locates nerve canals in the lower jaw quickly and precisely, helping radiologists and dentists save time and effort.
Read More
Experts from FCAI and Aalto University on how AI is impacting healthcare services, reliability and mechanics of automated medicine, and why regulation and validation is vital.
Read More
Finnish researchers have developed a new automatized way to localise mandibular canals.
Read More
AI and machine learning methods can help tackle the coronavirus epidemic in many ways.
Read More
Researchers from the University of Helsinki in Finland, Simon Fraser University in Canada and Imperial College London combined genomic data, models of bacterial evolution and machine learning to predict how vaccines could be optimised for specific age groups, geographic regions and communities of bacteria.
Read More
A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.
Read More
Finnish AI researchers have developed a deep learning system that shows great potential in detecting diabetic eye diseases, which could facilitate doctors’ work and decrease healthcare expenses.
Read More