Fimmic, a Finland-based medical software company, is offering researchers and pathologists free access to its AI platform in an effort to advance the implementation of the technology in microscopic image analysis.

The FDA has granted 510(k) clearance for technology that uses AI to enhance images from shorter scan procedures.

NYU Langone Health’s Department of Radiology is planning to release a large-scale dataset that includes more than 1.5 million MRI knee images in an ongoing effort to make MRI scans faster with AI.

With the help of machine learning, researchers were able to train a computer to analyze breast cancer images and classify tumors accurately, according to a study published in NPJ Breast Cancer.

After receiving FDA clearance for AI software that can detect brain bleeds from CT images, MaxQ AI has announced a deal to integrate the software with medical imaging platforms.

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.

NinePoint Medical, a Massachusetts-based medical device company, has received market clearance from the FDA for its new AI-based platform for image feature segmentation.

Researchers are hopeful a newly-developed machine-learning algorithm can be used to improve the detection of benign polyps during colonoscopies following a recent study validating the method.