ICT&health March 3, 2025
Despite the rapid growth of AI research in healthcare, its real-world adoption lags significantly behind other industries. To close this gap, a group of researchers from the University of Applied Sciences and Arts Northwestern Switzerland, ETH Zurich, and the University of Bern proposed ‘AI for IMPACTS’ – a framework designed to assess AI’s translational readiness in real-world healthcare settings.
Numerous challenges continue to hinder integration, including trust issues, concerns over accuracy and reliability, difficulties in reproducing results, and a complex web of ethical, legal, and societal implications. Additionally, while various frameworks have emerged to evaluate AI in healthcare, there remains a critical gap: a comprehensive, systematic approach that not only assesses real-world impact but also provides clear guidance on clinical...
Today's Sponsors
Today's Sponsor