PostDICOM
PostDICOM is a cloud-based, zero-footprint DICOM viewer and medical image management solution that allows users to view, store, and share DICOM files easily through any modern web browser. It supports a wide variety of modalities including CT, MRI, ultrasound, PET, and X-ray, and enables users to access studies from anywhere without the need for additional software installations. PostDICOM includes robust features such as 2D and 3D image viewing, MPR (multiplanar reconstruction), and image fusion. Users can annotate images, take measurements, adjust brightness/contrast, and apply window leveling. It also offers a teaching file management system for educational purposes, enabling users to create and manage teaching cases. With PostDICOM, medical professionals can collaborate through shared workspaces and control access permissions for other users. It includes tools for patient data anonymization and complies with HIPAA standards to ensure data security and privacy.
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Caption Health
Our AI technology enables healthcare providers to perform high-quality ultrasound exams wherever and whenever patients need them, regardless of their familiarity with ultrasound. Ultrasound is a safe, highly effective diagnostic tool, but it can be difficult to master, takes years of specialized training to learn, and image quality can vary. Performing the exam involves unnatural hand-eye coordination and unintuitive visuals. Traditional ultrasound software doesn’t provide instruction on how to move the ultrasound transducer to capture an image, or any real-time feedback on the quality of images being captured. Poor quality images lead to missed opportunities, misdiagnosis, repeat studies, and inconsistent interpretation. As a result, the true value and benefits of ultrasound have not been fully realized. Now, with our technology, any healthcare professional can capture diagnostic-quality ultrasound images thanks to AI guiding them through every step of the scanning process.
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V7 Darwin
V7 Darwin is a powerful AI-driven platform for labeling and training data that streamlines the process of annotating images, videos, and other data types. By using AI-assisted tools, V7 Darwin enables faster, more accurate labeling for a variety of use cases such as machine learning model training, object detection, and medical imaging. The platform supports multiple types of annotations, including keypoints, bounding boxes, and segmentation masks. It integrates with various workflows through APIs, SDKs, and custom integrations, making it an ideal solution for businesses seeking high-quality data for their AI projects.
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LabelFort
LabelFort is an audit-ready data annotation platform and managed annotation service from Predusk AI, built for AI teams whose training data has to survive an audit. AI pre-labelling handles the mechanical work, one of five QA workflows (single pass, maker checker, double-blind, AI review, AI consensus) reviews every record and ends in a human decision, and every dataset exports as an evidence pack: versioned pre-labels, an immutable log of who labelled, reviewed, and approved each record, and per-cohort inter-annotator agreement, mapped to EU AI Act, HIPAA, GDPR, SOC 2, and DPDP documentation. Image, video, text, audio, LiDAR, DICOM, document, and RLHF annotation run on one platform with an annotation canvas, ontology and form builder, QA console, audit log viewer, model registry, and dataset manager. Eight roles with separate routing and access checks. Teams can run the platform themselves or add a trained domain specialist team through Hire a Team.
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