Researchers have used deep learning to predict success, failure or complications in transplanted kidneys by analyzing pathology slides at scale.

Cardiology experts utilized more than 1.5 million ECGs performed over 35 years to develop their tool.

“With new mutations of the virus with higher transmission rates, it is imperative to diagnose positive cases as quickly and accurately as possible,” researchers wrote. 

Current trial-and-error approaches may force patients to suffer through severe depression for months, leading to loss of employment, marriage or life. 

One specialist described the findings as "revolutionary," noting that the system could help save health systems significant money. 

Researchers have used unsupervised machine learning to predict disease-causing properties in more than 36 million genetic variants across more than 3,200 disease-related genes.

The AI development team was guided by a sports-medicine specialist dubbed “the go-to orthopedic surgeon for many of the greatest athletes on the planet.”

More than one-quarter of the U.S. adult population has Gastroesophageal Reflux Disease, or GERD, and the condition saddles as many as 20% of its sufferers with Barrett’s esophagus. The latter is a serious risk factor for esophageal cancer.

A convolutional neural network has proven adept at predicting the spread of colorectal cancer to the lymph nodes using automated analysis of histology slides.

Harvard researchers have demonstrated a web-based program that allows cognitively normal individuals to screen themselves, unsupervised, for the type of memory decline that may signal encroaching Alzheimer’s disease.

Is the world ready for AI-equipped smartphones that can reliably identify or rule out COVID-19 based on audio data from coughing and speaking?

In cancer research settings, AI has shown strong capabilities for predicting risk, recurrence and survivability over the past 10-plus years. Yet real-world cancer mortality remains largely unchanged to the present day. Why is that?

Around the web

Early valve replacement was associated with improved outcomes in a new study published in Circulation.

The Department of Defense is gifting Case Western researchers a grant to study the use of AI in determining whether patients require surgery. 

Research publications by radiologists increased by 167% during the second year of the mentorship program, doctors at West Virginia University reported.

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