Machine learning (ML) can provide significant value in the field of palliative care. However, researchers still have a lot of unexplored ground to cover before the technology reaches its full potential.

Chun Yuan, PhD, has received a two-year, $200,000 grant from the American Heart Association’s Institute for Precision Cardiovascular Medicine for his work on using AI to detect blocked arteries and cardiovascular risk.

Another AI provider has donated key resources to help healthcare workers currently combating the deadly coronavirus outbreak.

AI can help improve malaria screening in low-resource settings, according to a new study published in the Journal of Digital Imaging. The model developed by researchers is as precise as human experts—and “several orders of magnitude” faster.

Microsoft has announced a new $40 million, five-year program designed to help nonprofit organizations and academic researchers develop AI-based healthcare solutions.

Group 42, an Abu Dhabi-based AI technology company, has announced its efforts to help healthcare workers battling the Wuhan coronavirus outbreak in China.

Researchers out of Wuhan, China, have developed a new AI-based quality improvement system for colonoscopies, sharing their findings in The Lancet: Gastroenterology & Hepatology.

Cancer patients are often expected to wait before starting radiation therapy so that a full treatment plan can be developed. Could AI help prevent such delays? 

When AI first started gaining popularity in healthcare, many providers were critical, skeptical or just avoided learning about the technology altogether. However, according to a new analysis, the time has come for cardiologists to step up and pay close attention.

AI models can be trained to predict outcomes for patients receiving thrombolysis for acute ischemic stroke (AIS), according to a new study published in the Journal of the Neurological Sciences.

The Wuhan coronavirus has already infected thousands of people around the world, with its death toll quickly approaching triple digits. Can AI prove to be a valuable tool in studying the spread of such illnesses?

Dermatologists need to be more involved in the development of AI technologies designed to evaluate skin cancer, according to a new analysis published in the Journal of the American Academy of Dermatology.