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 ...

Medical imaging is one of the most promising fields for use of AI tools, as pattern recognition and large data sets can enhance human diagnosis (e.g., by radiologists) or even compete with them. A ...

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 ...

The Lasker Foundation’s annual awards for medical research honor the inventors of optical coherence tomography, DeepMind’s AlphaFold program and a legendary Dutch cancer researcher. Many ...

Healthcare company Bayer has tapped Google for its cloud and artificial intelligence capabilities to build new tech products to assist radiologists. Bayer wants to pair its radiology, healthcare ...

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 ...