GenAID – Leveraging Generative Artificial Intelligence for Patient Data Management

Artificial intelligence (AI), particularly generative AI, is a mega-trend of the 2020s. However, research conducted with proper patient data is scarce, and established methods for selecting algorithms and assessing the performance of generative AI are entirely lacking. The GenAID project investigates the utilization of generative AI within a healthcare context. The project aims to 1) develop the healthcare system's capability to evaluate the algorithms and the text produced by generative AI, and 2) explore applications believed to have significant potential from the perspective of the healthcare system. The project strives not only to examine algorithms that meet the legal criteria for the healthcare system but also to assess the ecological and economic sustainability of the new technology.

The project is a Co-Research project by the University of Helsinki, with partners including the West Uusimaa wellbeing service area, TietoEVRY, CGI, Saidot, Vertical, AstraZeneca, GostaLabs, and the Finnish Medical Society Duodecim. The project produces open science, which is published in international, peer-reviewed journals.

GenAID is a Business Finland Co-Research funded project with a duration of two years, running from 7/2024 to 6/2026.