Generative AI is a type of artificial intelligence designed to create new content by learning patterns from existing data.

The year might be coming to a close, but medtech deals show no signs of slowing down. Philips announced a plan to acquire SpectraWave, a company that uses artificial intelligence in medical imaging.

Geneva PE's funding of NXXIM will create a cutting-edge AI platform that unifies patient data and empowers clinicians to make faster decisions, with pilot deployments in 2026. MIAMI, Dec. 11, 2025 ...

Introduction: The combination of CNN and Transformer has attracted much attention for medical image segmentation due to its superior performance at present. However, the segmentation performance is ...

The vision language model, named Pillar, analyzes CT and MRI images with an average AUC of .87 across 350+ findings, 10% - 17% more accurate than the leading publicly available AI models BERKELEY, ...

The vision language model, named Pillar, analyzes CT and MRI images with an average AUC of .87 across 350+ findings, 10% - 17% more accurate than the leading publicly available AI models University of ...

MultiCare teams with Tellica Imaging to open three Washington outpatient centers. Centers offer flat-rate MRI/CT pricing and can produce results within hour. Facilities relieve hospital backlogs by ...

BOSTON & SYDNEY--(BUSINESS WIRE)--Harrison.ai today announced the Harrison.ai Open Platform, a new paradigm that eliminates platform fees and enables single-integration access to multiple AI vendors.

More than 1 million patients have been affected by a data breach involving SimonMed Imaging, one of the country's largest outpatient radiology and medical imaging providers. The breach came to light ...

Vibe coding means asking AI to code an app or webpage based on simple language prompts. The practice helps non-programmers create an app without writing a line of code. The four steps to vibe coding ...

Healthcare’s shift to value-based care has exposed a critical gap: while providers are increasingly measured on patient outcomes and cost efficiency, they still coordinate care through fax machines ...

Abstract: The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent ...