A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.

A Chinese study of 2.8 million participants found that 94% of users flagged for AFib indeed have the heart rhythm disorder.

Such diagnoses were higher among community practices compared to academic institutions, with lack of subspecialty training a likely underlying factor, experts wrote in JACR. 

A study in Lancet Digital Health reports that a previously validated, high performing AI model committed troublesome errors when confronted with atypical anatomy.

Along with X-rays, the new outposts will also offer primary care, lab work, EKGs, behavioral health, dental, optical, and hearing services, all for a flat fee, the retailer reported. 

Sant’Andrea University Hospital in Rome saw overall imaging volumes plummet 21.5% but improved numbers among vulnerable populations using real-time data, experts wrote in European Radiology.