Research

Telemedicine Helped Ensure Essential Type 2 Diabetes Care Amid the COVID-19 Pandemic

A new study from the University of Eastern Finland indicates that the COVID-19 pandemic has seriously affected healthcare service usage among patients with 2 type diabetes in North Karelia, Finland, but essential care was continuously provided. The delivery of many essential services was facilitated by processes that strongly relied on telemedicine already before the pandemic.

Language Matters when Describing Weight Loss Goals

Obesity affects millions of individuals worldwide and is associated with a significantly increased risk for cardiovascular and metabolic diseases. A study publishing June 16th in the open access journal PLOS Digital Health by Annabell Ho at Noom, Inc. New York, United States, suggests that while setting a weight-loss goal, analytical language was associated with greater weight loss success and a lower likelihood of attrition.

Automating Renal Access in Kidney Stone Surgery Using AI-enabled Surgical Robot

Percutaneous nephrolithotomy (PCNL) is an efficient, minimally-invasive, gold standard procedure used for removing large kidney stones. Creating an access from the skin on the back to the kidney - called renal access, is a crucial yet challenging step in PCNL. An inefficiently created renal access can lead to severe complications including massive bleeding, thoracis and bowel injuries, renal pelvis perforation, or even sepsis.

App Detecting Jaundice in Babies a Success in First Major Clinical Trial

A smartphone app that identifies severe jaundice in newborn babies by scanning their eyes could be a life-saver in areas that lack access to expensive screening devices, suggests a study co-authored by researchers at UCL (University College London) and the University of Ghana.

KTU Researchers Investigate the Links Between Facial Recognition and Alzheimer's Disease

In recent years Alzheimer's disease has been on the rise throughout the world and is rarely diagnosed at an early stage when it can still be effectively controlled. Using artificial intelligence, Kaunas University of Technology (KTU) (Lithuania) researchers conducted a study to identify whether human-computer interfaces could be adapted for people with memory impairments to recognise a visible object in front of them.

Researchers Develop Smartphone-Powered Microchip for at-Home Medical Diagnostic Testing

A University of Minnesota Twin Cities research team has developed a new microfluidic chip for diagnosing diseases that uses a minimal number of components and can be powered wirelessly by a smartphone. The innovation opens the door for faster and more affordable at-home medical testing.

Screening for Diabetic Retinopathy Proven to be Cost-Effective in China

Both telemedicine and community screening for diabetic retinopathy (DR) in rural and urban settings are cost-effective in China, and telemedicine screening programs are more cost-effective, according to a study led by a group of ophthalmologists and economists.

The results were published in Health Data Science, a Science Partner Journal.

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