Two-thirds of public citizens in the Middle East are ready to embrace AI in healthcare, while only 10 percent of businesses in the region are ready or have begun adopting the technology, according to a new report by PwC Middle East.

Duke researchers have been awarded a grant worth more than $196,000 to address the need of explainability features in AI-based, clinical decision support software versus the need to protect trade secrets for the technology—an issue researchers say has become an emerging problem in AI-enabled healthcare delivery.

AI may be better at spotting cervical cancer and precancer after a study found a deep learning algorithm was more accurate at recognizing the disease than human doctors.

Seventy-seven percent of imaging professionals said machine learning is important, according to a recent report by Reaction Data. The findings signal an increase in use and understanding of machine learning among imaging professionals in the healthcare industry.

The National Science Foundation (NSF) has awarded a $652,820 grant to Florida Atlantic University’s (FAU) College of Engineering and Computer Science to establish the Artificial Intelligence and Deep Learning Training and Research Laboratory.

Thanks to the rise of AI technologies and more healthcare agencies embracing assistive robots, the personal robotics industry is expected to be an $18.85 billion market opportunity by 2020, according to a report by Frost & Sullivan.

Researchers from the Massachusetts General Hospital (MGH) in Boston designed a deep-learning algorithm that provides the reasoning behind its decisions, which could help solve transparency issues associated with AI, according to a report by Health Imaging.

More than 75 percent of healthcare executive leaders said their organization is increasing the pace of investment in big data and AI, with a majority citing fear of disruption by competitors, according to a survey by NewVantage Partners.

Lark’s clinically validated AI coaching programs provide new ways for 23andMe customers to take action on their genetic information

An AI-driven approach for detecting an early sign of diabetic retinopathy achieved an accuracy rate of more than 98 percent, according to a study published in Computers in Biology and Medicine. The results could mean a quicker and cheaper solution for diagnosing the disease earlier and possibly prevent loss of eyesight.