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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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Huge NHS Cloud Deals Mean Tough Questions: Here's What Imaging Tech Suppliers Must Prove

Opinion Article by Chris Scarisbrick, Deputy Managing Director, Sectra.
The largest public cloud projects to ever take place within the NHS are beginning. Regional procurements for public cloud hosted diagnostic imaging solutions have recently seen the earliest of adopters go-live.

Now, a tsunami is set to follow, with projects involving vast amounts of data needed for the care of millions of patients, soon to become commonplace.

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Will Generative AI Change the Way Universities Communicate?

Since the launch of ChatGPT 3 in November 2022, we've been abuzz with talk of artificial intelligence: is it an unprecedented opportunity, or will it rob everyone of jobs and creativity? As we debate on social media (and perhaps use ChatGPT almost daily), generative AIs have also entered the arena of university communication. These tools - based on "Large Language Models" that were optimized for interactive communication - can indeed support, expand, and innovate university communication offerings.

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Comprehensive Bibliographic Dataset Advances Health AI Research

A groundbreaking study published in Health Data Science, a Science Partner Journal, introduces a curated bibliographic dataset that aims to revolutionize the landscape of Health Artificial Intelligence (AI) research. Led by Xuanyu Shi and Jian Du from Peking University, this dataset integrates a vast array of Health AI-related documents, offering an invaluable resource for researchers, policymakers, and practitioners.

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Philips ePatch and AI Analytics Platform Rolled Out to 14 Hospitals Across Spain to Monitor Heart Patients

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced the successful nationwide rollout of its ambulatory cardiac monitoring service in Spain using its unique wearable ePatch paired with its AI-driven Cardiologs analytics platform. 14 Spanish healthcare providers across the country are now using the company's ePatch extended wear Holter monitors to detect life-threatening heart arrhythmias such as atrial fibrillation (AF).

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AI can Help Improve Emergency Room Admission Decisions

Generative artificial intelligence (AI), such as GPT-4, can help predict whether an emergency room patient needs to be admitted to the hospital even with only minimal training on a limited number of records, according to investigators at the Icahn School of Medicine at Mount Sinai. Details of the research were published in the online issue of the Journal of the American Medical Informatics Association.

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