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 ...

Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study. According to the authors, these advances pave the way for ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Machines can learn not only to make predictions, but also to handle causal relationships. An international research team shows how this could make therapies safer, more efficient, and more ...

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 ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

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 ...

Anant Madabhushi For the last six years, Anant Madabhushi's lab on the campus of Case Western Reserve University has emerged as a global leader in the detection, diagnosis and characterization of ...

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 ...