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A Smartphone's Camera and Flash could Help People Measure Blood Oxygen Levels at Home

First, pause and take a deep breath.

When we breathe in, our lungs fill with oxygen, which is distributed to our red blood cells for transportation throughout our bodies. Our bodies need a lot of oxygen to function, and healthy people have at least 95% oxygen saturation all the time.

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CHOP Study Explores the Use of Telemedicine in Child Neurology

Researchers from the Epilepsy Neurogenetics Initiative (ENGIN) at Children's Hospital of Philadelphia (CHOP) found that across nearly 50,000 visits, patients continued to use telemedicine effectively even with the reopening of outpatient clinics a year after the onset of the COVID-19 pandemic. However, prominent barriers for socially vulnerable families and racial and ethnic minorities persist, suggesting more work is required to reach a wider population with telemedicine.

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New Tool Overcomes Major Hurdle in Clinical AI Design

Harvard Medical School scientists and colleagues at Stanford University have developed an artificial intelligence (AI) diagnostic tool that can detect diseases on chest X-rays directly from natural-language descriptions contained in accompanying clinical reports.

The step is deemed a major advance in clinical AI design because most current AI models require laborious human annotation of vast reams of data before the labeled data are fed into the model to train it.

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Philips Foundation and RAD-AID International Embark on a Multi-Year Cross-Continental Partnership

Philips Foundation, with its mission to provide access to quality healthcare for 100 million people a year in underserved communities by 2030, together with Philips and RAD-AID International, today announced a multi-year cross-continental partnership to promote access to diagnostic ultrasound services in ten countries.

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Creating the Digital Health Workforce of the Future

How are trusts and health tech suppliers going to find the people they need to develop deploy and optimise critical clinical information systems in the future? Highland Marketing's advisory board invited Paul Rice from Bradford Teaching Hospitals NHS Foundation Trust to outline how he has been thinking about the challenge.

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AI Tool could Reduce Common Drug Side Effects

Research led by the University of Exeter and Kent and Medway NHS and Social Care Partnership Trust, published in Age and Ageing, assessed a new tool designed to calculate which medicines are more likely to experience adverse anticholinergic effects on the body and brain. These complications can occur from many -prescription and over-the-counter drugs which affects the brain by blocking a key neurotransmitter called acetylcholine.

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ANregiomed Puts Siemens Healthineers and Dräger in Charge of its Medical Equipment

This new technology partnership kicked off September 1, 2022, marks the first time that Siemens Healthineers is collaborating with a municipal medical service provider to implement a concept it has successfully pursued internationally with major networked healthcare providers and full-service hospitals.

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(Senior) Project Lead Digital Transformation Consulting

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

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Consortium to Develop Fully Implantable Brain-Computer Interface to Enable Communication for People with Paralysis

A research consortium led by the UMC Utrecht Brain Center (the Netherlands) in collaboration with Graz University of Technology (Austria), the Wyss Center for Bio and Neuroengineering (Switzerland) and CorTec (Germany) is to receive a grant through the European Innovation Council (EIC) Pathfinder Challenge mechanism.

The researchers aim to develop a unique fully implantable Brain-Computer Interface (BCI) system for people with locked-in syndrome (LIS) - a condition in which paralysis severely limits communication.

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AI Model Outperforms Clinicians in Diagnosing Pediatric Ear Infections

An artificial-intelligence (AI) model built at Mass Eye and Ear was shown to be significantly more accurate than doctors at diagnosing pediatric ear infections in the first head-to-head evaluation of its kind, a research team working to develop the model for clinical use reported.

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