Torrent Pharmaceuticals Limited has expanded its recent recall of blood pressure-regulating losartan tablets to include an additional 104 lots of the drugs, the company announced April 18.

Working with SRI International, the California tech lab that gave the world Siri, mental-health specialists at NYU Langone have developed an AI-based tool that uses voice analysis to diagnose posttraumatic stress disorder—potentially via telemedicine.

“Our research demonstrates that deep-learning models integrating routine imaging scans obtained at multiple time points can improve predictions of survival and cancer-specific outcomes for lung cancer," wrote Hugo Aerts, PhD, in a recent study published in Clinical Cancer Research.

Eating a late dinner and skipping breakfast could raise heart patients’ risk of a repeat MI or death by up to fivefold, according to research published in the European Journal of Preventive Cardiology April 17.

As researchers continue to make significant advances with artificial intelligence (AI) and deep learning, has the time come for radiologists to be concerned about their jobs?

GE Healthcare’s Deep Learning Image Reconstruction (DLIR) engine, designed to be used with its Revolution Apex CT solution, has gained FDA clearance.

More than 90% of healthcare consumers were surprised by a medical bill in 2018, while nearly three-quarters were confused by a bill’s content and more than half could not pay a bill in full if it totaled more than $1,000.

As burnout continues to be a problem in radiology, what can be done to prevent it from getting even worse? According to a new commentary published in Academic Radiology, it’s time for the specialty to approach this issue from a new, more positive point of view.

The FDA granted GE Healthcare’s Deep Learning Image Reconstruction (DLIR) platform 501(k) clearance April 18, marking the first time the agency has approved a deep learning-based CT image reconstruction technology.

The supply of radiation oncologists hasn’t kept up with the global demand for radiation therapy. But could experts from across the world help create an AI algorithm capable of closing that gap?