Philips in partnership with 4DMedical™
Actionable insights into lung health
Enhancing lung care with a holistic approach to screening, diagnosis and treatment.
Philips and 4Medical™, global leaders in cardiothoracic imaging and software, are partnering to scale comprehensive, non-invasive lung health screening by going beyond traditional X-ray and CT scans. Through fully automated advanced visualization and algorithm-based technology, the partnership aims to improve diagnostics, streamline clinical workflows and provide more personalized care for patients.
Clear, quantitative insights with existing X-ray and CT equipment
Revolutionize your lung imaging program with innovative cardiothoracic software. These multi-diagnostic screenings can assist with detecting lung disease from existing CT and X-ray scans, enabling faster, more accurate diagnoses without additional equipment or procedures.
Regional quantification of lung function
Includes lung volumes, ventilation heterogeneity (VH), and ventilation defect percentage (VDP)
Easy-to-read
Color-coded visualization of regional lung ventilation
Detailed, actionable insights into lung function
To better characterize and quantify respiratory conditions and symptoms
Compatible with hospital imaging equipment
Can be used with existing X-ray and CT equipment. Contrast agents not required
Transform your X-ray and CT scans into unmatched clinical insights
Philips, in collaboration with 4DMedical™, presents an innovative product suite that enables physicians to obtain the maximum amount of actionable information from a single scan, empowering them to enhance patient care.
Footnotes
- S. Hossen, J.P. Kirkness, B.W. Richmond, M.G. Lester, V. Lui, K. Nielsen, A. Fouras, T. Otvos, N.M. Punjabi, and T. Siddharthan. Regional Ventilation Heterogeneity Among Veterans With Deployment Related Exposures (abstract). Am J Respir Crit Care Med 2024;209:A3923. (https://www.atsjournals.org/doi/10.1164/ajrccm-conference.2024.209.1_MeetingAbstracts.A3923)
- 4DMedical data on file Performance Requirements SRS-PHA-7000: The algorithm shall be capable of high throughput and be able to scan up to several thousand datasets a week.*SDS-PHA-7001: Algorithm should be completed within 6 minutes and shall be completed within 10 minutes on datasets sized at least 512x512x474 on a M3 General Purpose Extra Large. Amazon server (API name: m3.xlarge, Memory: 15.0 GB, Storage: 80 GB).
Disclaimer
Philips is an authorized partner of 4DMedical™. XV LVAS™, CT LVAS™, LDA™, CAC™ and PHA™ are registered trademarks of 4DMedical™ or its affiliates. Images belong to 4DMedical™.
Philips in partnership with 4DMedical™