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Track and Manage

Custom workflows

Role-based access

Image submission

Site and user management

KPIs and reports

De-identification

DICOM de-identification

Video redaction

Burned-in annotations

Custom DICOM edits

Quality Control

Built-in quality checks

Manual quality checks

Study reporting & analysis

Study reporting templates

Compliance

FDA CFR Part 11

SliceVault Express

Publications

Introduction
The de-identification process is the process by which SliceVault de-identify medical images locally before data is transferred via secure communication to SliceVault servers. The de-identification process ensures all images are free from Personal Health Information (PHI) before being committed to the online trial repository.

Last updated: 9 February 2023

The science behind the SliceVault platform is published in the following papers:

Fingerprint: An AI-based method for detection of mislabeled CT studies in clinical trials
Edenbrandt L et al., J Radiol Clin Imaging 2023;7:12-15.
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AI-Based Image Quality Assessment in CT
Edenbrandt L et al., Arch Clin Biomed Res 2022;6:869-872.
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Organ Finder – A New AI-based Organ Segmentation Tool for CT
Edenbrandt L et al., J Radiol Clin Imaging 2022;5:65-70.
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