In an interview with AI in Healthcare, JingJia Liu, chief executive officer at Wision AI, discussed the company's new machine-learning algorithm for polyp detection, what’s next and the impact of AI products in the medical industry.
A deep-learning system (DLS) designed by Google researchers outperformed several top general pathologists when grading prostate cancer on a standard grade, according to newly-published research.
An AI-based network outperformed several dermatologists while analyzing skin lesions for cancer, suggesting the technology could be a helpful tool for physicians regardless of their experience, according to a recent study.
Saint Thomas Health, a Tennessee-based health system, is the first in the state to use an AI-based software system that helps clinicians better diagnose and treat coronary artery disease, according to an online report by WGNS News Radio.
Healthcare executives and organizations are extremely confident AI will be the solution to several problems within the industry. They're so confident, in fact, organizations are expected to invest an average of $32.4 million each in AI over the next five years, according to a recent survey of healthcare executives.
Weeks after Eko announced plans to develop machine-learning technology to help physicians detect heart diseases, the AI-based network's results were comparable to cardiologists in detection accuracy.
Australian researchers are encouraging physicians to consider how online support groups may impact a cancer patient’s decision-making following a study that used a machine-learning framework to analyze patient interactions within online groups.
The National Institutes of Health has awarded a $3.5 million grant to help researchers develop a robotic system that “destroys” metastatic brain tumors with high-intensity therapeutic ultrasound and real-time imaging.
