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.
Surgery

AI personalizes hospital selection for elective surgery patients

Both outcomes and costs may vary widely from one patient to the next even in hospitals with consistently strong quality scores. Machine learning can help optimize the selection process for each patient as an individual.

December 3, 2020
Emoticons

Affective computing could make healthcare AI more considerate of human feelings

Only two of 156 scientific papers on AI published over the past 12 years used emotion as input data, according to a new literature review. And the reviewers focused on a specialty ripe for augmentation by artificial emotional intelligence: pregnancy health.

November 30, 2020
Social Distancing

AI hypothesizes, shows a connection between optimistic outlook and COVID ethics

Psychological researchers have used AI to not only test a hypothesis on COVID-related behaviors but also to help come up with the hypothesis in the first place.

November 30, 2020
Smartphone

FDA clears AI for mobile radiology reads, patient communications

The healthcare AI startup founded by developers of the Apple Watch has been greenlit to market an AI-powered mobile application that lets radiologists interpret images and share the results with patients in real time.

November 30, 2020
Eyeball

AI helps diagnose Parkinson’s on eye images capturable by smartphone

Parkinson’s disease is diagnosable early with a basic eye exam and AI, according to researchers at the University of Florida.

November 23, 2020
Coding

How and why to diversify healthcare AI training data

Examples of bias are accumulating into an unignorable chink in healthcare AI’s armor.

November 18, 2020
Laboratory

2020 has seen AI emerge as essential to disease research

The COVID crisis has given AI a chance to shine for medical researchers this year—and shine it has, judging by one prominent center’s experience.

November 13, 2020

Machine learning models about as trustworthy as conventional means for risk prediction

When it comes to predicting an individual’s risk of suffering a heart attack or stroke over the next 10 years, machine learning models are no more consistent than traditional statistical techniques.

November 11, 2020

Around the web

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.

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