Artificial Intelligence

The health system’s algorithms can detect early pneumonia on medical imaging with the precision of a subspecialist radiologist.

By limiting medical jargon and concentrating on closed-ended questions, chatbots can reduce clinical workload and make patient care more efficient – and maintain empathy in the process.

Video-based real-time services are just the beginning, said American Telemedicine Association President Dr. Joe Kvedar during his keynote for the virtual ATA2020 conference.

The Veterans Health Administration invites participants to use synthetic veteran health data to predict COVID-19 status, length of hospitalization and mortality.

The coronavirus emergency has improved digital health in the Italian healthcare system, but many fear a rude awakening unless major strides are made to advance digitisation, as discussed in a recent HIMSS Italian Community webinar.

Automation can help manage high patient call volumes, unwieldy medical device data and daily employee health screening, says Dr. David Rhew, chief medical officer and VP of healthcare at Microsoft.

Predictive analytics platform CLEW's ICU tool uses artificial intelligence to help identify patients with a greater likelihood of respiratory failure or hemodynamic instability.

The RF-ReID technology, developed at MIT's Computer Science & Artificial Intelligence Laboratory, can assess vital signs and take the "collective pulse" in congregate settings by analyzing wireless signals.

Virtual care may be the way of the future for treating diabetes, says Julia Hu, founder and CEO of Lark Health.

In 2018 alone, approximately 12,000 audits performed for broad-spectrum antibiotic use at SGH revealed that 20 per cent to 30 per cent of these prescriptions were inappropriate.