Algorithmic fairness in artificial intelligence for medicine and healthcare
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
Polygenic risk scores for cardiovascular disease: a scientific statement from the American Heart Association
Cardiovascular disease is the leading contributor to years lost due to disability or premature
death among adults. Current efforts focus on risk prediction and risk factor mitigation ‚which …
death among adults. Current efforts focus on risk prediction and risk factor mitigation ‚which …
Precision medicine, AI, and the future of personalized health care
KB Johnson, WQ Wei, D Weeraratne… - Clinical and …, 2021 - Wiley Online Library
The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …
revolutionize health care. Precision medicine methods identify phenotypes of patients with …
The “All of Us” research program
All of Us Research Program … - New England Journal of …, 2019 - Mass Medical Soc
Knowledge gained from observational cohort studies has dramatically advanced the
prevention and treatment of diseases. Many of these cohorts, however, are small, lack …
prevention and treatment of diseases. Many of these cohorts, however, are small, lack …
GA4GH: International policies and standards for data sharing across genomic research and healthcare
Summary The Global Alliance for Genomics and Health (GA4GH) aims to accelerate
biomedical advances by enabling the responsible sharing of clinical and genomic data …
biomedical advances by enabling the responsible sharing of clinical and genomic data …
From big data to precision medicine
For over a decade the term “Big data” has been used to describe the rapid increase in
volume, variety and velocity of information available, not just in medical research but in …
volume, variety and velocity of information available, not just in medical research but in …
Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations
T Ge, MR Irvin, A Patki, V Srinivasasainagendra… - Genome Medicine, 2022 - Springer
Abstract Background Type 2 diabetes (T2D) is a worldwide scourge caused by both genetic
and environmental risk factors that disproportionately afflicts communities of color …
and environmental risk factors that disproportionately afflicts communities of color …
[HTML][HTML] Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
Objective: Electronic health records (EHRs) are an increasingly common data source for
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …
AI in health: state of the art, challenges, and future directions
F Wang, A Preininger - Yearbook of medical informatics, 2019 - thieme-connect.com
Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …
range of disciplines in recent years, including health. The increase in computer hardware …
A framework for enhancing ethical genomic research with Indigenous communities
Integration of genomic technology into healthcare settings establishes new capabilities to
predict disease susceptibility and optimize treatment regimes. Yet, Indigenous peoples …
predict disease susceptibility and optimize treatment regimes. Yet, Indigenous peoples …