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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 algorithm identifies candidates for palliative care—and predicts death

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.

64% of patients excited about AI-powered nurse assistants

As artificial intelligence (AI) becomes more advanced and commonplace in medicine, patients are excited about the possibilities the technology could bring to care, according to a report released by Syneos Health Communications.

Computer reads brain activity to ID the song a patient is listening to

Researchers from the D'Or Institute for Research and Education have used machine learning to train a computer to identify what song a participant is listening to by analyzing brain activity. The study, published in Scientific Reports, aims to advance brain decoding for future communication with patients without spoken words.

AI interprets radiology reports with 91% accuracy

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.

AI predicts early onset of sepsis

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.

Virtual reality helps ID brain areas involved in memory

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

Algorithm predicts speech outcomes after cochlear implant

An algorithm developed by researchers at the Chinese University of Hong Kong has accurately predicted speech improvement in children who use cochlear implants (CIs). Findings were published in the Proceedings of the National Academy of Sciences of the United States of America.

Smartphone app uses cough sounds to diagnoses respiratory disease

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.

AI facial analysis system improves diagnosis of rare diseases

An international team of researchers led by scientists at the University Hospital Bonn and the Charité - Universitätsmedizin Berlin have developed a computer-aided artificial intelligence platform for image analysis of patient faces to improve diagnosis of rare diseases. Findings were published in Genome Medicine.

AI system IDs, sorts bacteria in blood infections by type

Microbiologist at the Beth Israel Deaconess Medical Center (BIDMC) in Boston have developed an artificial intelligence system capable of detecting blood infections to assist in diagnosis. Findings are published in the Journal of Clinical Microbiology.

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