The round, led by leading healthcare provider InterMountain Healthcare, will be used to accelerate the development of Zebra’s imaging analytics engine and create neural networks that will use Zebra’s ...

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 ...

New initiatives expand access to expert support, foundation models, and curated datasets, empowering researchers and clinical teams to build high-quality medical imaging AI with unprecedented speed, ...

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) ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

In this four-year PhD project, you will develop real-time machine-learning systems for the analysis of fluorescence-guided endoscopic videos. Your primary goal is to design and evaluate machine ...

The deep learning market in drug discovery and diagnostics offers promising opportunities, driven by rising technology adoption, significant investments, and innovative solutions in healthcare. Key ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...

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 ...

HOPPR, a company focused on transforming how AI is developed for medical imaging, today announced at RSNA 2025 the launch of two new programs for the HOPPR™ AI Foundry: Forward Deployed Services (FDS) ...