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 ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

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 ...

Chipmaker Nvidia sees big opportunities in healthcare AI and this week it launched more than two dozen new gen AI-powered microservices. The global computing powerhouse also inked collaborations 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 ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...