Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.

COVID outcomes predictor suffers only slight sophomore slump

The model’s consistent overall accuracy demonstrates the reusability of existing COVID algorithms with recalibrations rather than fallbacks to square one, AI developers suggest.

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Medicare improves racial healthcare inequities

Medicare is associated with reductions in racial and ethnic disparities in insurance coverage, access to care and self-reported health across the U.S., according to a new study published in JAMA.

 

Bias-resistant AI advances personalized medicine in surgery

Researchers in Denmark and the U.S. have used deep neural networks to develop complementing models for predicting complications likely to arise in patients who’ve had surgeries of all kinds. 

AI separates EHR wheat from weeds so clinicians can get on with patient care

When assisted by an AI tool designed to organize and display digitized patient referral records, gastroenterologists cut their time to answer relevant clinical questions by 2.3 minutes.

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Lonely older adults take more high-risk medications

Being lonely has some correlation to higher use in riskier medications among older adults, according to a new study.

 

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Scholarly futurists project healthcare AI’s trajectory across 3 time windows

Beginning around 2031, autonomous virtual assistants will deliver precision preventive medicine while networked provider orgs offer closely connected care via single, shared digital infrastructures.

AI biopsy dilemma: Wolf or husky, equity or bias?

Early on in the development of digital image recognition, the technology showed a penchant for taking logical but potentially problematic shortcuts: It would look to image artifacts and incidental “asides” such as background features to distinguish between two visually similar subjects.

AI casts wide net to predict functional decline in the elderly

Psychology researchers have used machine learning to wring useful two-year dementia trajectory predictions from more than 500 potentially contributing risk factors.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”