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 ...

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 ...

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 ...

Researchers at Rice University and The University of Texas MD Anderson Cancer Center have developed a compact, artificial ...

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 ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...

Among the most powerful tools that enable modern day healthcare delivery are advanced imaging techniques. Often, these tools are used to validate physical exams, visualize internal anatomy, or ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.

A new editorial published in Diagnostics argues that the future of disease detection will depend on combining biomarkers, ...