New research points to regulatory compliance and operational hurdles as reasons for slower implementation, with 76% of medtech companies not using AI in product processes.
The acquisition positions the company with a suite of AI-powered breast cancer image interpretation and workflow solutions.
From artificial intelligence-assisted troubleshooting to predictive platforms, vendors and end-users share what’s working—and what it takes to get there.
New research points to regulatory compliance and operational hurdles as reasons for slower implementation, with 76% of medtech companies not using AI in product processes.
The medical device testing firm has expanded its lab network by acquiring WuXi AppTec’s US-based facilities.
The mobile x-ray system is designed to deliver room-quality imaging at the bedside while enhancing workflow, safety, and maneuverability.
Effective stakeholder analysis and requirements gathering are critical to safe, compliant infusion system design.
Experience raises what-if moments AI might catch—but also deeper questions only humans think to ask.
UL Solutions will support Michigan's medical device industry and help manufacturers test healthcare products.
The system allows US healthcare providers to transform traditional 2D ultrasound into AI-supported 3D tomographic imaging.Â
Designed to support particle therapies including proton and carbon ion, the system combines upright positioning with onboard CT imaging.
Foam support surface technology aims to enhance patient comfort and reduce risk of surface contamination in the emergency and perioperative departments.
A real-time, recursive, fact-first architecture reduces AI-generated ‘note bloat’ by 65% and cuts down on post-visit edits.
UCLA Health is the first in the US to integrate Siemens’ mobile head CT scanner for on-scene stroke diagnosis.