The healthcare industry has a lot of hope for machine learning solutions across patient care. However, there are many barriers to widespread adoption keeping machine learning from being implemented into clinical practice.

The full impact of COVID-19 infections, even mild and moderate cases, is still being understood. And now, recent research has revealed that the medium and long-term impact of an acute illness may be associated with cardiovascular events.

Heading into the Radiological Society of North America (RSNA) 2022 meeting, Health Imaging sat down with Signify Research to find out what the key trends and new technologies are in the computed tomography market.

Since the beginning of the year physicians have reported seeing fewer instances of blood clotting linked to COVID-19. However, recent social media postings from members of the medical community in the U.K have raised the possibility of a reversal of this trend.

A radiation treatment that delivers therapeutic doses in a fraction of a second appeared to be a promising option in mitigating the side effects associated with conventional radiation therapy, according to results from a first-in-human trial.

A new artificial intelligence (AI) model from researchers at MIT can detect Parkinson’s disease, a notoriously difficult disease to detect, through breathing patterns. The tool could help alleviate the disease onset gap between when symptoms of Parkinson’s first appear and when most people receive a diagnosis. The MIT team that developed the AI model uses...

A handful of recent rulings from the Supreme Court have brought the issue of patient privacy into the spotlight, and patients are more concerned about the privacy of their medical information, according to a recent survey from the AMA.

A small trial has found that radiotherapy led to a “dramatic” slowing of prostate cancer progression, increasing time with normal testosterone. “Metastasis-directed therapy combined with hormone therapy as part of an intermittent regimen improves PFS and thus time off from hormone therapy,” said Chad Tang, MD, of the University of Texas MD Anderson Cancer Center...

A new analysis examines how artificial intelligence in medicine can impact clinical decisions and identifies the steps that could build more trust in machine learning models from doctors and patients.

Google Cloud enables the development of AI for imaging to support faster, more accurate diagnosis of images, increased productivity for healthcare workers, and improved care access and outcomes for patients.