A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications ...

Federated imaging network startup Avandra has raised $17.5 million in series A funding to give researchers access to larger volumes of imaging data to train AI models or develop novel therapies. The ...

This summer research project invites two undergraduate students to join our lab in developing artificial intelligence tools to help neurosurgeons make better decisions during surgery. Students will ...

Even though the Food and Drug Administration (FDA) has approved more than 200 commercial radiology AI products, substantial obstacles must be overcome before we are likely to see widespread successful ...

The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) is eager to co-develop machine learning solutions with ...

Growing acceptance of medical cannabis has led to a worldwide increase in production of the plant, but some of the associated legal and regulatory framework has not kept pace. According to a project ...

In today's data-driven healthcare landscape, medical imaging stands at the forefront of diagnosis and treatment planning. From X-rays and MRIs to CT scans and ultrasounds, these images provide crucial ...

OpenAI's ChatGPT system has sent the topic of artificial intelligence through the roof. But so many professionals across industries, including healthcare, do not truly understand how AI works – ...