Bayer and Samsung Take Action Against Sleep Disturbances Associated with Menopause

Bayer AG today announced a strategic collaboration with Samsung Electronics America, Inc. to address data gaps on sleep disturbances associated with menopause (SDM). The companies will co-develop an observational study to further improve the understanding of the burden and impact of SDM using data provided by women through Samsung consumer devices.

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New AI Algorithm Detects Rare Epileptic Seizures

More than 3.4 million people in the US and 65 million people worldwide have epilepsy, a neurological disorder that affects the nervous system and causes seizures. One in 26 people will develop epilepsy at some point in their lives, and 1 out of 1000 people with epilepsy die from unexpected deaths each year.

Like many conditions, epilepsy treatment starts with early detection.

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AI detects more breast cancers with fewer false positives

Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings. Results of the study were published today in Radiology, a journal of the Radiological Society of North America (RSNA).

Mammography successfully reduces breast cancer mortality, but also carries the risk of false-positive findings. In recent years, researchers have studied the use of AI systems in screening.

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New Machine Learning Method can Better Predict Spine Surgery Outcomes

Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more accurately gauge how patients may recover from spine surgery.

Using machine learning techniques developed at the AI for Health Institute at Washington University in St. Louis, Chenyang Lu, the Fullgraf Professor in the university's McKelvey School of Engineering, collaborated with Jacob Greenberg, MD, assistant professor of neurosurgery at the School of Medicine, to develop a way to predict recovery more accurately from lumbar spine surgery.

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AI Tech should Augment Physician Decision-Making, not Replace It

The use of artificial intelligence (AI) in clinical health care has the potential to transform health care delivery but it should not replace physician decision-making, says the American College of Physicians (ACP) in a new policy paper. "Artificial Intelligence in the Provision of Health Care," published in the Annals of Internal Medicine, offers recommendations on the ethical, scientific, and clinical components of AI use, and says that AI tools and systems should enhance human intelligence, not supplant it.

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Facial Thermal Imaging + AI Accurately Predict Presence of Coronary Artery Disease

A combination of facial thermal imaging and artificial intelligence (AI) can accurately predict the presence of coronary artery disease, finds research published in the open access journal BMJ Health & Care Informatics.

This non-invasive real-time approach is more effective than conventional methods and could be adopted for clinical practice to improve the accuracy of diagnosis and workflow, pending testing on larger and more ethnically diverse numbers of patients, suggest the researchers.

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A Three-Point Plan for Digital Delivery

Sam Shah has seen health tech policy up-close and worries that little progress has been made over the past five-years. However, he has a plan for any health and social care secretary who'd like to solve problems instead of issuing sound bites.

Sam Shah has a very diverse portfolio: spanning clinical work, academic leadership, legal advice, and health tech advisory roles that see him travelling from the UK to the Middle East and back.

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Siemens Healthineers Debuts New Cardiology Applications for Acuson Sequoia Ultrasound System

Siemens Healthineers announces new cardiology applications with artificial intelligence for the Acuson Sequoia ultrasound system, as well as a new 4D transesophageal (TEE) transducer for cardiology exams. These cardiology applications and new transducer round out the Acuson Sequoia as a fully featured ultrasound system for regional hospitals as well as radiology and vascular clinics that use a shared service business model.

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AI Health Coach Lowers Blood Pressure and Boosts Engagement in Patients with Hypertension

A new study in JMIR Cardio, published by JMIR Publications, shows that a fully digital, artificial intelligence (AI)-driven lifestyle coaching program can effectively reduce blood pressure (BP) in adults with hypertension. This AI-based program leverages data from wearable activity trackers and BP monitors as well as a mobile app questionnaire to tailor lifestyle guidance.

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New Deep Learning Model is 'Game Changer' for Measuring Embryo Development

Research led by the University of Plymouth has shown that a new deep learning AI model can identify what happens and when during embryonic development, from video.

Published in the Journal of Experimental Biology, the study highlights how the model, known as Dev-ResNet, can identify the occurrence of key functional developmental events in pond snails, including heart function, crawling, hatching and even death.

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