Scope Stanford: New algorithm could accelerate diagnosis of genetic diseases using clinical records

Scope Stanford: New algorithm could accelerate diagnosis of genetic diseases using clinical records. “In a continued effort to speed up the diagnostic process of severe genetic diseases, Stanford’s Gill Bejerano, PhD, and his colleagues have developed a new algorithm that can quickly locate important disease-related information within a patient’s medical record.”

MIT Technology Review: Your smartphone’s AI algorithms could tell if you are depressed

MIT Technology Review: Your smartphone’s AI algorithms could tell if you are depressed. “Depression is a huge problem for millions of people, and it is often compounded by poor mental-health support and stigma. Early diagnosis can help, but many mental disorders are difficult to detect. The machine-learning algorithms that let smartphones identify faces or respond to our voices could help provide a universal and low-cost way of spotting the early signs and getting treatment where it’s needed. “

EurekAlert: Deep learning can distinguish recalled-benign mammograms from malignant and negative images

EurekAlert: Deep learning can distinguish recalled-benign mammograms from malignant and negative images . “An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.”

University of Southern California: Virtual reality tool designed at USC corrects errors in brain scan data

University of Southern California: Virtual reality tool designed at USC corrects errors in brain scan data. “In recent years, virtual reality technology has begun proving its worth outside the world of gaming, with applications in education, health care, military training and beyond. Now researchers at the Mark and Mary Stevens Neuroimaging and Informatics Institute at the Keck School of Medicine of USC are exploring a new frontier: VR as a tool for processing brain scan data.”

CNET: Facebook and NYU want to use AI to make MRI exams faster

CNET: Facebook and NYU want to use AI to make MRI exams faster. “MRI scans may some day be available for a lot more people in need. Facebook on Monday said it’s teaming up with NYU School of Medicine’s Department of Radiology to launch ‘fastMRI,’ a collaborative research project that aims to use artificial intelligence to make MRI — magnetic resonance imaging — 10 times faster.”

Bloomberg Quint: Google’s DeepMind To Create Product to Spot Eye Disease

Bloomberg Quint: Google’s DeepMind To Create Product to Spot Eye Disease. “DeepMind, the London-based artificial intelligence company that is owned by Alphabet Inc., plans to develop a medical product that will help doctors to detect more than 50 sight-threatening conditions from a common type of eye scan.”

STAT News: IBM’s Watson supercomputer recommended ‘unsafe and incorrect’ cancer treatments, internal documents show

STAT News: IBM’s Watson supercomputer recommended ‘unsafe and incorrect’ cancer treatments, internal documents show. This article is paywalled. “Internal IBM documents show that its Watson supercomputer often spit out erroneous cancer treatment advice and that company medical specialists and customers identified ‘multiple examples of unsafe and incorrect treatment recommendations’ as IBM was promoting the product to hospitals and physicians around the world.”