AI-powered symptom checkers can potentially reduce the number of people going to in-person clinics during the pandemic, but first, researchers say, people need to know they exist.

Powerful algorithms used by Netflix, Amazon and Facebook can 'predict' the biological language of cancer and neurodegenerative diseases like Alzheimer's, scientists have found.

Mobility tracking using cell phone data showing greater movement of people is a strong predictor of increased rates of COVID-19, according to new data in CMAJ (Canadian Medical Association Journal).

Even before the pandemic made telehealth a hot topic, people with minor urgent health needs had started to turn to companies that offer on-demand video chats with physicians that they don't normally see.

X-rays, first used clinically in the late 1890s, could be a leading-edge diagnostic tool for COVID-19 patients with the help of artificial intelligence, according to a team of researchers in Brazil who taught a computer program, through various machine learning methods, to detect COVID-19 in chest X-rays with 95.6 to 98.5% accuracy.

The American Academy of Sleep Medicine recently published an update on the use of telemedicine for the diagnosis and treatment of sleep disorders to reflect lessons learned from the transition to telemedicine during the COVID-19 pandemic and the benefits of continuing to utilize remote care when appropriate.

Life-threatening situations occur time and again in an intensive care unit. To make sure that doctors can intervene in time, a team at the German Heart Center Berlin (DHZB) has developed AI-based software that regularly evaluates all monitoring data and alerts staff before a critical situation is reached. With the establishment of x-cardiac GmbH, these AI-based monitoring systems have now become market-ready medical products.