Imaging

A study published in Nature suggests its model was able to spot cancer in de-identified screening mammograms with fewer false positives and false negatives than experts.

The NYU School of Medicine’s technology enables radiologists to see images the way they currently see them, then, if they deem necessary, ask the AI for its opinion. Results to date are impressive.

LogixLab's AI-powered diagnostic tool is helping innovate approaches to medical imaging, says Dr. Mohd Hanif Abdul Gaus, the company's director of health technology.

Tristan van Doormaal, a neurosurgeon at UMC Utrecht in the Netherlands, details how augmented reality and virtual reality can help patients understand their condition better and train residents in different approaches to surgery.

AI scientist Rohit Ghosh, a founding member of Qure.ai, discusses using artificial intelligence and machine learning to advance radiology and examples of success stories.

Mazen Sobh, regional business manager at CareStream in the Middle East, outlines the financial, technical, clinical and security benefits of cloud computing for imaging but says key advantage is patient access in a variety of care settings.

Hans Mekenkamp, owner and managing director at MedicalPHIT, says next-level imaging will offer patients advanced access while leveraging new workflows that make the process more efficient.

(SPONSORED) As part of Vitality Solutions, Vitality IQ™ Imaging Operations and Vitrea® Vitality Business Intelligence were introduced to help healthcare admins improve operations and receive actionable insight into the health, performance, and utilization of Vitrea imaging systems.

(SPONSORED) Vital launches VioSuite™ Image Management includes a VNA for unified storage and management of all imaging data created across all care operations and solutions that allow federated access to images residing in disparate DICOM archives.