Whole body automated CT segmentation and extraction of whole body organ/tissue/tumor measurements from CT and PET using the DAFS platform is likely going to enable such imaging biomarkers to become feasible for individual assessment in precision medicine.
Body composition scores reflecting the quantity and quality of skeletal muscle were strongly correlated with patient frailty and associated with 30-day readmission and postop mortality and morbidity. https://t.co/RYxbgQrzLT
#CGH4ALL Can changes in body composition predict pancreatic adenoCa?
@AGA_CGH's #Pancreaticobiliary section assesses CT & 🧪biomarkers up to 36 months before diagnosis in 1690 pts!
👍CT assessments = fully automated abdominal segmentation algorithm
🔗https://t.co/08dADXkxxt
@Radiology_AI@farrell192 @NIHRadiology Interested in ascites segmentation? Try DAFS from @VoronoiHealth that provides ascites and pleural fluid segmentation and quantification on your CT scans onsite.
No data transfer off-site.
No programming expertise needed.
Saving valuable human time.
https://t.co/3tZAP9cnLA
@Radiology_AI@farrell192 @NIHRadiology DAFS platform provides ascites and pleural fluid quantification in an automated segmentation platform that delivers reliable and accurate segmentations. No data sharing nor any programming expertise needed.
https://t.co/O0y2qCRocZ
@salvasapedraza Whole body automated CT segmentation using DAFS provides liver, spleen, kidneys, pancreas, gall-bladder, prostate among other tissues...in a fully self-contained platform that performs on-site processing. No programming skills or data transfer needed.
https://t.co/Wmp65rRa4M
DAFS AI @VoronoiHealth was used in this paper to quickly and accurately analyze CT images, revealing higher sarcopenia rates in ACC patients compared to those with benign adrenal lesions.
https://t.co/SL8R1MWXRf
@BarbaraLT94@EP_HSMarta@HSMarta_Cardio Great work!
Tracing the fibrous pericardium manually is tedious though.
DAFS @VoronoiHealth platform automates segmentation and measurement of epicardial, paracardial, visceral, subcutaneous, intramuscular fats, aorta and aortic calcification on-premise.
Pre-operative automated CT-derived body composition metrics may provide objective measure of frailty to identify patients at high risk of mortality or readmission due to surgery: analysis of 48,444 patient CTs using DAFS by @VoronoiHealth
https://t.co/7p4nFtIdr9
@JAMASurgery Wow, the paper analyzes N=48,444 patient CT scans! The scale of this analysis, thanks to automation with DAFS, is mind-boggling! Delighted to have contributed to this paper with DAFS from @VoronoiHealth and working towards clinical integration!
Most viewed in the last 7 days from @JAMASurgery:
Can preoperative computed tomography scans provide patient frailty assessments that are associated with outcomes of abdominal surgery?
https://t.co/4KEp4ArJ2s
Wishing a happy new year 2024 to all from the VHA DAFS team.
Here's a visualization of some of the latest models automatically generated from CT scans by our DAFS platform for quantitative assessment of organs and tissues as a function of disease and interventions (treatment, chemo, surgery, radiation, exercise, lifestyle, nutrition), and building individual predictive models. https://t.co/Iz0JX0oLYU
Introducing DAFS Express. Single-Slice Body Composition from CT made very simple.
Measure any axial CT slice from anywhere in the body. C3. T4. T12. L1. L3. Thigh. Anywhere from head to toe.
https://t.co/JrK18dSx7r
Batch-process and derive csv of body composition measurements and pdf reports from any number of images with a single click.
Integrated viewer for quality control. A one stop shop for CT-based body composition from any level in the body.
No more need for tedious image by image manual segmentation workflow. Save your precious human time with AI-based automation and batch-processing.
For a limited time, claim a FREE trial for DAFS Express here:
https://t.co/Oz3nlOkHvn