BioDash: A semantic web dashboard for drug development
Eric K. Neumann, Dennis Quan
PSB 2006
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. This paper describes the FUTURE-AI framework, which provides guidance for the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI Consortium was founded in 2021 and comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two year period, the FUTURE-AI guideline was established through consensus based on six guiding principles-fairness, universality, traceability, usability, robustness, and explainability. To operationalise trustworthy AI in healthcare, a set of 30 best practices were defined, addressing technical, clinical, socioethical, and legal dimensions. The recommendations cover the entire lifecycle of healthcare AI, from design, development, and validation to regulation, deployment, and monitoring.
Eric K. Neumann, Dennis Quan
PSB 2006
Rick Kjeldsen
Disability and Rehabilitation: Assistive Technology
Fernando Suarez Saiz, Sanjoy Dey, et al.
MLHC 2022
Matthias Reumann, Blake G. Fitch, et al.
EMBC 2009