Ultrasound
General imaging ultrasound
General imaging ultrasound: Elevate every ultrasound experience
With purposefully designed, cutting-edge innovation and a familiar and intuitive user experience, our general imaging ultrasound solutions deliver AI-powered workflows and intelligent imaging enhancements— designed to make it faster and easier to achieve beautifully detailed images. Experience crisp image resolution and tissue detail, AI-powered tools that minimize routine steps and support reproducible measurements and simplified device ownership and management.
Elevate every ultrasound experience: AI and automation +
Learn how the latest Philips ultrasound release uses AI, automation and advanced technology to help speed workflow, improve image quality and provide outstanding operational value.
AI in ultrasound
AI-powered tools in Philips ultrasound are designed to support reproducible results by automating routine tasks and guiding workflows. From abdominal imaging automation to streamlined liver assessment and improved image uniformity, these capabilities help reduce variability across users and exams. By supporting consistency and workflow efficiency, AI enables clinicians to focus on timely, informed decision-making across everyday practice.
Accurate [2] fast, AI-driven abdominal measurements
Auto Measure Abdomen recognizes abdominal anatomy and organ borders and automatically places calipers, decreasing time for performing standard measurements by up to 55% [1] and reducing intra-operator variability.
Collaboration Live for tele-ultrasound
Collaboration Live is a communication platform embedded in Alturion, EPIQ, Affiniti and Compact 5000 series systems. With real-time access to patient images on a mobile device or web browser and the ability to meet via chat or video, physicians can consult with both sonographers and patients in the exam room. Multi-party communications allow up to six users to simultaneously connect and communicate with chat, audio, image-share and video stream.
Enabling technologies for General imaging ultrasound
Related procedures
Footnotes
- Internal documentation: Validation report D001785669. Evidence was obtained on a subset of data from 5 subjects (7 clinical experts) assessing the measurement time for saved images and not the scan time.
- Internal documentation: Validation report D001785669. Evidence was obtained from a retrospective data analysis study involving data from 150 subjects (using MD.AI annotation tool, 3 clinical experts).
Disclaimer
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. Results in other cases may vary.