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Artificial Intelligence

 

A novel deep learning algorithm could hold the key to proactive palliative care—and predict patient deaths, according to a paper published by the Stanford University School of Medicine in California.

Researchers from New York's Icahn School of Medicine at Mount Sinai have developed machine learning capable of interpreting radiologist reports, according to a study published in Radiology.

Researchers from Emory University in Atlanta have developed an artificial intelligence (AI) algorithm capable of predicting the onset of sepsis, according to a study published in Critical Care Medicine.

Neuroscientists have used virtual reality to gain insight into how the brain assembles memory, according to a study published in Nature Communications.

ResApp Health Limited, a digital health company producing smartphone applications for the diagnosis and management of respiratory disease, has begun enrolling participants in a study evaluating the feasibility of an app in the diagnosis of pediatric respiratory disease from cough sounds.

 

Recent Headlines

Deep learning AI IDs diabetic retinopathy, eye diseases using retinal images

Researchers have developed a deep learning system (DLS) using artificial intelligence (AI) capable of identifying diabetic retinopathy and related eye diseases using retinal images, according to a study published in JAMAThe system's performance was comparable to human graders.

Researchers develop machine learning app that predicts overeating tendencies

Researchers from Worcester Polytechnic Institute (WPI) from Worcester, Massachusetts, and the University of Connecticut have developed a smartphone app that uses machine learning to predict eating patterns to provide potential interventions for users hoping to lose weight. Findings were presented at the annual symposium for the American Medical Informatics Association.

Machine learning model could accelerate drug discovery

Researchers from the University of Warwick have developed a machine learning model capable of predicting the interactions between proteins and drug molecules with 99 percent accuracy. Findings have been published in Science Advances.

Improving cloud computing, machine learning with Google

Google has introduced a suite of new partnerships utilizing the power of cloud computing and machine learning to advance the field of diagnostic imaging. Presentations were given at the annual meeting of the Radiological Society of North America (RSNA) in Chicago.

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