AI Can Ease Cardiology Workflows, But Patient Trust Gap Remains, Report Finds
New global findings show cardiac care professionals are optimistic about AI's potential to save time and improve diagnoses, while patients remain cautious.
New global findings show cardiac care professionals are optimistic about AI's potential to save time and improve diagnoses, while patients remain cautious.
The solutions are designed to streamline cardiac workflows and improve diagnostic confidence using artificial intelligence and automation.
From artificial intelligence-assisted troubleshooting to predictive platforms, vendors and end-users share what’s working—and what it takes to get there.
New global findings show cardiac care professionals are optimistic about AI's potential to save time and improve diagnoses, while patients remain cautious.
The program offers mail-in calibration, scheduled reminders, and shipment tracking to help facilities maintain accurate survey meter performance and meet regulatory requirements.
The trophon3 and trophon2 Plus are designed to automate high-level disinfection, improve workflow efficiency, and enhance digital traceability for healthcare facilities.
Effective stakeholder analysis and requirements gathering are critical to safe, compliant infusion system design.
The investment will expand facilities in Pennsylvania and Minnesota to increase production of AI-enabled ultrasound and image-guided therapy systems.
The Rigel 288+ downloader app for iOS devices lets biomedical device engineers download and manage electrical safety test data.
Exclusive to the Sonosite LX system, the new transducer aims to improve diagnostic confidence and procedural precision in superficial imaging.
While 9 in 10 security leaders feel prepared for an attack, a new “trust gap” report finds only 25% actually trust their own data, leading to slow remediation and delays in AI adoption.
The multi-functional device enables both cutting and coagulation via flexible endoscopy and is now cleared for US clinical use.
The solution uses predictive analytics and AI-powered workflows to help hospitals identify high-risk patients, improve care transitions, and reduce avoidable readmissions that can lead to CMS penalties.
Designed to assist with needle-based interventions, the system aims to reduce user variability and enhance procedural efficiency.