A team of researchers at the Ear Institute, University College London has found that the sound-processing algorithms used in hearing aids can degrade the ability of hearing-impaired people to discriminate sounds. In their paper published […]
A research group led by Dr. Hideyuki Kobayashi at Toho University Omori Medical Center in Tokyo developed an AI-assisted image classifier that provides scores for histological testis images of patients with azoospermia. The objective of […]
Anesthestic drugs act on the brain, but most anesthesiologists rely on heart rate, respiratory rate, and movement to infer whether surgery patients remain unconscious to the desired degree. In a new study, a research team […]
More than ever, patients are using telehealth to ask doctors and nurses about worrying blood-pressure readings, nauseating migraines and stubborn foot ulcers. But for patients with chronic conditions, how frequent should telehealth appointments be? Can […]
At its peak, the current COVID-19 pandemic has all but brought social and economic life to a virtual standstill. Although lockdowns and social distancing have proven effective in bringing down infection rates and COVID-associated deaths, […]
The difference made to health care quality measurement by voluntary data sharing across a region’s health systems and ambulatory care practices is examined in the Journal of the American Medical Informatics Association by Adam Wright, […]
Even the humble fruit fly craves a dose of the happy hormone, according to a new study from the University of Sussex which shows how they may use dopamine to learn in a similar manner […]
Early on in the COVID-19 pandemic, health officials seized on contact tracing as the most effective way to anticipate the virus’s migration from the initial, densely populated hot spots and try to curb its spread. […]
Heart disease can take a number of forms, but some types of heart disease, such as asymptomatic low ejection fraction, can be hard to recognize, especially in the early stages when treatment would be most […]
A mobile app that uses crowd-sourced data on COVID-19 symptoms can accurately identify where local coronavirus outbreaks will appear, according to Johns Hopkins Medicine scientists who developed the app.This post was originally published on this […]
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