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AI helps ID schizophrenia through brain imaging

Researchers have identified an approach for more accurately diagnosing schizophrenia using AI, bringing some objectivity to the field of neurodevelopmental disorder diagnosis, according to a study published in the May edition of Artificial Intelligence in Medicine.

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Partners HealthCare announces 12-month AI software rollout

Boston-based medical network Partners HealthCare will be rolling out new software and support services over the next 12 months with the goal of involving more physicians and health experts in AI research.

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Google, FitBit, others join CTA’s new initiative on AI in healthcare

More than 30 major companies and organizations including Google, FitBit and the Federation of State Medical Boards announced April 4 they’re joining the Consumer Technology Association’s (CTA) new initiative on AI in healthcare.

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Deep learning ECG analysis facilitates screening for hyperkalemia

A deep learning model trained on more than 1.5 million electrocardiograms and developed by a team at the Mayo Clinic improved detection rates for hyperkalemia in patients with chronic kidney disease (CKD), according to a study published April 3 in JAMA Cardiology.

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Machine learning helps fine-tune drug prescribing for bipolar disorder

bipolar

Mental health researchers at Harvard and the University of Pennsylvania have developed a novel machine learning technique for predicting how bipolar patients will respond to two drugs commonly prescribed to treat the disorder, according to a study running in Bipolar Disorders.

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Massachusetts governor warns healthcare execs to be realistic about AI

Massachusetts Gov. Charlie Baker issued a piece of cautionary advice to healthcare executives April 8, urging them to take the recent rise of AI with a grain of salt, the Boston Business Journal reported.

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Chi-square risk estimation helps reduce noise in MR images

A combination of the established denoising algorithm NeighShrink and chi-square unbiased risk estimation (CURE) could reduce noise in magnetic resonance (MR) images more effectively than traditional methods, according to research published in Artificial Intelligence in Medicine.

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New approach reduces training time for DL networks by 69%

Researchers at North Carolina State University have developed a model that cuts the training time for deep learning networks by up to 69%.

  • Read more about New approach reduces training time for DL networks by 69%

Soft printable robots may help care for the elderly with a gentle touch

soft robot

Industrial and biomedical engineers at Purdue University have demonstrated a way to print devices in 3D such that they squeeze, move and otherwise feel like human hands. The team’s hope is to create soft robots that can help care for elderly patients with a human-like touch when nursing shortages become the norm.

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Edison Award recipients include some high-tech healthcare innovators

bright bulb

The nonprofit Edison Universe has named the winners of the 2019 Edison Awards, recognizing innovations of various sorts in industries of all kinds. Some of the best breakthroughs involve high tech in healthcare.

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