DiA Imaging Analysis, an Israel-based healthcare technology company, has gained U.S. Food and Drug Administration (FDA) clearance for LVivo IQS, a new software solution designed to help users acquire high-quality echocardiography images, regardless of their experience.

The vast majority of 500 artificial intelligence (AI) algorithms now cleared for clinical use in the U.S. are for radiology and cardiology. For this reason, cardiologists and radiologists need to learn how these technologies work and realise the clinical use of AI is no longer science fiction.

The integration of artificial intelligence into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration...

Text-generating AI models, such as ChatGPT, have the potential to “revolutionise the field of medical writing” by automating tasks and increasing efficiency throughout the writing process.

An AI tool named “Sybil” was able to forecast both short- and long-term lung cancer risk based on a single low-dose CT (LDCT) scan, researchers reported.

In efforts to speed workflow, improve patient care and augment an increasingly shorthanded clinical workforce, AI is starting to see wider adoption across healthcare. But there are questions regarding who is liable if an AI application fails and it results in a malpractice lawsuit.

Two artificial intelligence (AI) programs, including ChatGPT, have passed the U.S. Medical Licensing Examination (USMLE), according to two recent papers.

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.

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 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.