World-leading approach to improve ethical adoption of AI in healthcare
NHS in England to begin pilot into Algorithmic Impact Assessments (AIAs) in healthcare to eradicate biases in algorithms
3 minute read
AI Champions
It's time for more diversity in health leadership
Sonavi Labs co-founder and CEO Ellington West discusses her company’s drive to improve patient outcomes, her experience as a black female, and the pressing need for greater diversity in healthcare leadership
6 minute read
Intermountain set ethical standards for using AI
Intermountain Healthcare has established a Data Science and Artificial Intelligence Center of Excellence.
2 minute read
FDA, Health Canada and MHRA publish good machine learning practice for medical devices
US Food and Drug Administration, Health Canada, and UK Medicines and Healthcare products Regulatory Agency jointly identify 10 guiding principles to inform the development of Good Machine Learning Practice (GMLP).
4 minute read
Literature
Evaluation framework for implementation of AI systems in healthcare
A timely manuscript on the schism between AI projects and actual adoption in health systems.
2 minute read
Feature
New research reveals patient perspective on the benefits of AI in healthcare
Pfizer’s research conducted with a group of cancer patients in the UK* reveals several key patient insights and unmet needs where AI-supported solutions would be positively welcomed during their cancer diagnosis and ongoing treatment.
7 minute read
Artificial intelligence for health equity and research diversity
AIM-AHEAD program: a new artificial intelligence and machine learning consortium to advance health equity and researcher diversity.
2 minute read
ClosedLoop deploy explainable AI to improve population health
"Today's most innovative leaders in value-based care choose AI solutions to help them attain the Triple Aim of improving individual and population health, as well as reducing costs.”
2 minute read
Discrimination and fairness in AI healthcare
Despite a deeply disturbing personal experience, data scientist and medical doctor, Dr. Candace Makeda Moore, explains why she has high hopes for combating bias with AI in the healthcare industry
9 minute read