The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
A new robotic system allows medical staff to remotely operate ventilators and other bedside machines from outside intensive care rooms of patients suffering from infectious diseases.
Researchers have developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten.
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Research found that chatbots working for reputable organizations can ease the burden on medical providers and offer trusted guidance to those with symptoms.
Researchers caution that consumer wearables are not sophisticated enough to monitor the complicated illness.
Researchers show chatbots could play a key role in helping people with issues around their health and wellbeing.
A new app that helps patients in self-isolation monitor for symptoms of COVID-19 and identify their mental health needs has been developed.
Researchers are collaborating with local partners to establish a network of portable, handheld ultrasound scanners that can soon accelerate COVID-19 diagnosis.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Scientists have developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission