An increasing number of artificial intelligence firms are tweaking existing platforms or creating new models to help clinicians handle the growing pandemic.
"This study presents a significant advancement in addressing a major unmet clinical need: the accurate arrhythmia localization in patients with a variety of heart rhythm disorders," one Johns Hopkins Medicine expert noted.
Middle-aged and elderly patients had a higher number of lesions on their chest images, along with more severe lung abnormalities, compared to those younger than 18 years old.
"It is our hope that in [the] future doctors might be able to use a device like ours to precisely identify diseases as they develop at the cellular level, in real-time, and in high resolution," researchers wrote.
The consensus statement includes four categories for detailing chest CT abnormalities and has been endorsed by the American College of Radiology and the Society of Thoracic Radiology.
