AI for healthcare
Title: AI for healthcare
DNr: NAISS 2024/6-7
Project Type: NAISS Medium Storage
Principal Investigator: Fredrik Johansson <>
Affiliation: Chalmers tekniska högskola
Duration: 2024-02-25 – 2025-03-01
Classification: 10201 10106


Machine learning (ML) is becoming an integral tool in automating and improving healthcare. In particular, prediction tasks and decision support are important problems addressed using ML applied to electronic health records, genetic sequencing data and records from clinical trials. Common issues include domain adaptation, identification of causal effects and policy evaluation. In the Healthy AI lab at Computer Science & Engineering, we do research into artificial intelligence for improving decision making and prediction in healthcare. Students continually analyze open healthcare data such as the ADNI and MIMIC databases.