In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...

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 ...

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

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 ...

Medical imaging has traditionally focused on creating static visual representations of a patient's internal anatomy. This practice is essential for detecting conditions, guiding treatments and ...

Microsoft continues to deepen its work in healthcare AI. The tech giant is now collaborating with academic medical systems Mass General Brigham and the University of Wisconsin-Madison to advance AI in ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...

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 ...