Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

RSS icon
Thumbnail

AMA passes policy recommendations on AI

The American Medical Association (AMA) has passed a policy addressing "augmented intelligence"—and not "artificial intelligence"—that provides recommendations for stakeholders' concerns.

Thumbnail

Machine learning identifies lymphedema in breast cancer survivors with 94% accuracy

Researchers from the New York University Rory Meyers College of Nursing have found machine learning using real-time symptom reports to be accurate in identifying lymphedema early in breast cancer patients. Findings were published in the May 2018 issue of mHealth.

7 comments on AI's potential in diabetes management

Artificial intelligence (AI) in medical devices may lead to breakthroughs for self-management in patients with diabetes, according to a study published May 31 in the Journal of Medical Internet Research.

London hospitals plan to use AI in place of clinicians for certain tasks

University College London Hospitals (UCLH) have partnered with the Alan Turing Institute to use machine learning and artificial intelligence (AI) to complete tasks currently handled by nurses and clinicians, according to The Guardian.

Algorithm uses 53 data points to predict life expectancy after heart failure

Researchers from the University of California, Los Angeles (UCLA) have developed an algorithm capable of accurately predicting which patients will survive a heart transplant and for how long.

Machine learning achieves 79% accuracy in identifying long QT syndrome

AliveCor and Mayo Clinic have utilized machine learning to identify long QT syndrome (LQTS), with findings presented at the Heart Rhythm Scientific Sessions in Boston.

AI software IDs common cause of stroke, dementia

Researchers from the at Imperial College London and the University of Edinburgh have developed artificial intelligence (AI) software capable of detecting a common cause of dementia and stroke. Findings were published May 15 in Radiology.

Microsoft announces AI program for individuals with disabilities

Microsoft has announced a new program to fund research into using artificial intelligence (AI) to improve care for those with disabilities.

Displaying 681 - 688 of 1009

Around the web

Health Exec
These health systems have the biggest digital health portfolios

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.

Health Exec
Toylike robot pleases counseling clients where humanoid counterpart struggles to connect

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.

Health Exec
Medsender, Patagonia Health team up to aid public health efforts against COVID-19

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.