Ultrasound
Ultrasound AI Solutions
Harness AI for intuitive, reproducible, efficient ultrasound
From image acquisition to analysis, our ultrasound AI solutions integrate into every day clinical workflows and augment user skills - reducing cognitive burden while keeping the ultimate decision responsibility with clinicians. Features such as automated image formation, acquisition, measurement and reporting drive productivity. Eliminating the need for manual view selection and visual analysis helps reduce variability between users and supports the expanded use of ultrasound.
Demonstrated results
Automatic color flow quantification to assess mitral regurgitation
3D Auto Color Flow Quantification uses AI for fast, easy and reproducible mitral regurgitation (MR) volume to help assess MR severity. It has been proven to work on single, multiple, concentric and eccentric jets. [6]
Fast and accurate abdominal measurements
Auto Measure Abdomen recognizes abdominal anatomy and organ borders and automatically places calipers, reducing intra-operator variability and decreasing measurement time by up to 55% and button pushes for standard measurements by 33%. [7]
AI-powered automated ejection fraction (EF) calculation for objective EF analysis
2D Auto EF Advanced, using AI-based Smart View Select technology, is designed to reduce variability in the calculation of EF from 4CH and/or 2CH views and biplane and improve efficiency through automation. It creates fast, reproducible results and delivers automatic EF analysis for routine and technically difficult cases as part of everyday echo workflow, regardless of clinician experience.
Image gallery
- Echo software application compilation, AI screen
- Smart View Select automatically selects the optimum images for 2D LV assessment
- Automated evaluation of segmental wall motion from AP4, AP3 and AP2 images.
- Auto Measure Doppler for mitral, tricuspid, aortic and pulmonary valves
- Global, regional and mid-layer strain of LV shown utilizing AutoStrain LV feature.
- 3D Auto Tricuspid Valve Quantification (3D Auto TV) supports accurate clinical evaluation of the tricuspid valve annulus in 3D.
- 3D Automated Color Flow Quantification (3D Auto CFQ) provides an important measurement for mitral valve regurgitation assessment.
- Auto Measure Abdomen Spleen with C9-2 transducer
- Auto Measure Abdomen Kidney Transverse Width and Height
- Auto Measure Abdomen Right Kidney Length
Exceptional images, quantification and automation
The EPIQ CVx offers advanced imaging and quantification and customizable capabilities that can significantly reduce exam time and speed time-to-results, including for transthoracic (TTE) or transesophageal (TEE) echo, so that you can provide greater care in less time for more types of patients.
Documentation
Footnotes
- BI-RADS and TI-RADS are registered trademarks of the American College of Radiology.
- Internal documentation: Validation report D001785669.
- VM9 claims document 270472 A.
- Internal documentation: Validation report D001785669. Obtained from a retrospective data analysis study involving data from 150 subjects (using MD.AI annotation tool, 3 clinical experts).
- VM9 claims document 270472 A.
- Obtaining accurate peri-procedure measurements of the TV annulus AI-powered 3D Auto Tricuspid Valve
- Quantification (3D Auto TV). Philips white paper. 2024.
- Biner S, et al. Reproducibility of proximal isovelocity surface area, vena contracta, and regurgitant jet area for assessment of mitral regurgitation severity. JACC: Cardiovascular Imaging. 2010;3:235–243.
- 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.
- Mitral Valve Navigator is an advanced automation solution with anatomical intelligence, not currently certified as artificial intelligence. Henry MP, et al., Three-Dimensional Transthoracic Static and Dynamic Normative Values of the Mitral Valve Apparatus: Results from the Multicenter World Alliance Societies of Echocardiography Study. J Am Soc Echocardiogr. 2022 Jul;35(7):738-751.e1. doi: 10.1016/j.echo.2022.02.010. Epub 2022 Mar 1. PMID: 35245668; PMCID: PMC10257802.
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.