AI technology could hold key to improving health services
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  August 20, 2018  
  Artificial Intelligence in Healthcare  
  The latest artificial intelligence in healthcare news from News Medical  
 AI technology could hold key to improving health servicesAI technology could hold key to improving health services
 
The need to embrace technology to radically improve how the NHS successfully delivers its services is behind a new partnership between the University of Essex and Provide CIC.
 
   New computational strategy used to identify genes associated with childhood cancerNew computational strategy used to identify genes associated with childhood cancer
 
Using a new computational strategy, researchers at UT Southwestern Medical Center have identified 29 genetic changes that can contribute to rhabdomyosarcoma, an aggressive childhood cancer.
 
   Artificial intelligence used to demonstrate link between personality and eye movementsArtificial intelligence used to demonstrate link between personality and eye movements
 
It's often been said that the eyes are the window to the soul, revealing what we think and how we feel. Now, new research reveals that your eyes may also be an indicator of your personality type, simply by the way they move.
 
 Training AI systems with simulated X-rays
 
Training AI systems with simulated X-raysArtificial intelligence holds real potential for improving both the speed and accuracy of medical diagnostics. But before clinicians can harness the power of AI to identify conditions in images such as X-rays, they have to 'teach' the algorithms what to look for.
 
 
 Study identifies brain-based dimensions of mental health disorders using machine learning
 
Study identifies brain-based dimensions of mental health disorders using machine learningA new study using machine learning has identified brain-based dimensions of mental health disorders, an advance towards much-needed biomarkers to more accurately diagnose and treat patients.
 
 
 AI platform identifies acute neurological illnesses faster than human diagnosis
 
AI platform identifies acute neurological illnesses faster than human diagnosisAn artificial intelligence platform designed to identify a broad range of acute neurological illnesses, such as stroke, hemorrhage, and hydrocephalus, was shown to identify disease in CT scans in 1.2 seconds, faster than human diagnosis, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published today in the journal Nature Medicine.
 
 
 Computational platform predicts how to convert one cell type into another
 
Computational platform predicts how to convert one cell type into anotherResearchers have developed a computational platform that predicts how one subtype of cells can be converted into another subtype.