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.
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 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.
High-resolution transducers for swift and precise imaging
Philips offers a wide range of transducers for excellence in doppler and sonography. They feature intelligent imaging technology for 2D, 3D, 4D, flat, static and moving imaging along with an ergonomic design for comfortable scanning. For example, the award-winning mL 26-8 ultra-high frequency, compact linear array transducer allows you to image from eyeball to hip - all with the same transducer.
赋能 通用超声成像 的技术
相关临床应用
脚注
- 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).
免责声明
结果来源于特定医疗机构，其他医疗机构未必能够获得相同结果。实际结果可能因具体情况而异。