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SliceVault blog
Our blog is full of inspiration, best practices and success stories for better imaging in your clinical trials.
Morten Hallager
Dec 2, 20242 min read
AI-Assisted PERCIST Analysis: Revolutionizing PET/CT Study Evaluation
Revolutionize PET/CT study evaluations with SliceVault's AI-powered PERCIST analysis—faster, consistent, and optimized for clinical trials.
Morten Hallager
Aug 27, 20243 min read
Introducing the Fingerprint Method: A Breakthrough in Quality Control for Clinical Trials
We are excited to share the first successful application of our innovative Fingerprint method by the research team at RECOMIA . Designed...
Morten Hallager
Aug 15, 20242 min read
The Impact of Body Composition on Cancer Prognosis
Subcutaneous adiposity is an independent predictor of mortality in cancer patients. Additionally, sarcopenia—the loss of skeletal muscle...
Morten Hallager
Jul 18, 20242 min read
Organ Finder AI: Transforming Organ Segmentation and Diagnostic Accuracy
Anatomical localization of findings, as well as the assessment of organ and tissue size and structure, are critical steps in the analysis...
Morten Hallager
Jun 26, 20244 min read
Introducing the SliceVault AI Pipeline: Powering Medical Imaging and Clinical Trials
Artificial Intelligence (AI) has become a cornerstone in modern medical imaging and clinical trials, offering unprecedented precision,...
Morten Hallager
Jul 4, 20232 min read
From X-Rays to PET Scans: The History of Medical Imaging in Clinical Trials
Medical imaging has been used in clinical trials for several decades now, with advancements in technology and research continuously...
Morten Hallager
Apr 11, 20232 min read
Picture Perfect: The Importance of Data Quality Control in Clinical Trials with Medical Images
Picture Perfect: The Importance of Data Quality Control in Clinical Trials with Medical Images
Morten Hallager
Feb 7, 20232 min read
Revolutionizing Clinical Trials: The Power of Automatic Segmentation and AI in Image Quantification
Discover how SliceVault AI is revolutionizing image quantification in clinical trials, providing more accurate and reproducible results.
Morten Hallager
Jan 6, 20233 min read
Preserving Patient Privacy: The Importance of DICOM De-Identification in Clinical Trials
In clinical trials, patient privacy is of utmost importance. The information collected during clinical trials is sensitive and must be...
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