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Researchers Find Telemedicine may Help Reduce Use of Unnecessary Health Tests

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A research team from Mass General Brigham and their collaborators have found that telemedicine may help to reduce the use of low-value tests. The work is published in JAMA Internal Medicine.

AI Revolutionizes Glaucoma Care

Imagine walking into a supermarket, train station, or shopping mall and having your eyes screened for glaucoma within seconds - no appointment needed. With the AI-based Glaucoma Screening (AI-GS) network, this vision could soon become a reality.

Glaucoma is the leading cause of irreversible blindness in Japan and worldwide. Early detection is critical, as the disease progresses silently, slowly constricting one's peripheral field of vision.

North Cumbria Integrated Care Signs 10-Year Contract with Alcidion for Miya Precision EPR Platform

North Cumbria Integrated Care NHS Foundation Trust (NCIC) has signed a long-term agreement for use of the Alcidion Miya Precision platform, to provide an electronic patient record (EPR) for the trust. The trust joins two others in the region delivering benefits for patient care with the support of technology from Alcidion.

The modular EPR will enhance digital maturity and support clinicians as they deliver high quality, safe patient care.

AI Accelerates Discovery of Neurodevelopmental Disorder-Associated Genes

Researchers have developed an artificial intelligence (AI) approach that accelerates the identification of genes that contribute to neurodevelopmental conditions such as autism spectrum disorder, epilepsy and developmental delay. This new powerful computational tool can help fully characterize the genetic landscape of neurodevelopmental disorders, which is key to making accurate molecular diagnosis, elucidating disease mechanism and developing targeted therapies.

AI Model can Read ECGs to Identify Female Patients at Higher Risk of Heart Disease

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG).

The researchers say the algorithm, designed specifically for female patients, could enable doctors to identify high-risk women earlier, enabling better treatment and care. Details are published today in Lancet Digital Health.

New AI Tool Mimics Radiologist Gaze to Read Chest X-Rays

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said Ngan Le, a University of Arkansas assistant professor of computer science and computer engineering. We should understand how the computer makes its diagnosis, yet most AI systems are black boxes whose "thought process" even their creators cannot explain.

To be Happier, Take a Vacation... from Your Smartphone

Today, nearly every American - 91% - owns a cellphone that can access the internet, according to the Pew Research Center. In 2011, only about one-third did. Another study finds they average 5 hours and 16 minutes a day staring at small screens.

With that rapid infiltration has come widespread concern about the negative psychological effects of being chronically online.

DIGITAL HEALTH NEWS

Researchers Find Telemedicine may Help Reduce Use of Unnecessary Health Tests

AI Revolutionizes Glaucoma Care

North Cumbria Integrated Care Signs 10-Year Contract with Alcidion for Miya Precision EPR Platform

AI Accelerates Discovery of Neurodevelopmental Disorder-Associated Genes

AI Model can Read ECGs to Identify Female Patients at Higher Risk of Heart Disease

New AI Tool Mimics Radiologist Gaze to Read Chest X-Rays

To be Happier, Take a Vacation... from Your Smartphone

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