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. 

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Mayo Clinic boosts clinical trial enrollment by 80% with IBM's Watson

Enrollment for breast cancer clinical trials at Mayo Clinic has risen by 80 percent following the implementation of IBM’s Watson for Clinical Trial Matching.

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HIMSS18: Machine learning system mines data to reduce costs, minimize waste

Orion Health has announced its machine learning system, Amadeus Intelligence, could improve patient care while reducing operating costs by minimizing waste.

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VA, DeepMind partner to predict patient deterioration

The Department of Veterans Affairs (VA) have announced a partnership with DeepMind, the artificial intelligence (AI) section of Alphabet, Google’s parent company, to reduce the rates of patient deterioration during hospital stays.

Machine learning predicts heart attack with 94% accuracy

Chest pain is one of the most common reasons patients visit the emergency department (ED), but relatively few are eventually diagnosed with myocardial infarction (MI). New research found a machine learning algorithm can predict MI with 94 percent accuracy.

Healthcare aims to improve utilization of AI

The healthcare industry is poised to see a 40 percent increase in the artificial intelligence (AI) market in the coming years—and, despite heavy regulations, the industry continues to improve utilization.

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AI algorithm prevents spread of infectious diseases

Researchers from the University of Southern California Viterbi School of Engineering have developed an algorithm capable of slowing the spread of infectious diseases while accounting for limited resources and population dynamics. Findings are published in the AAAI Conference on Artificial Intelligence.

Using AI, deep learning to fight aging

A Baltimore-based company is utilizing the power of artificial intelligence (AI) and deep learning to advance drug discovery, biomarker development and aging research.

Apple Watch detects individuals with diabetes with 85% accuracy

Researchers at the University of California, San Francisco and digital health startup Cardiogram have found the Apple Watch capable of detecting patients with diabetes with 85 percent accuracy.

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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.

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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.

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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.