Diagnostic and Medical Imaging Software

A robust HL7 data processing engine combined with a customizable reporting framework, integrated with secure, scalable infrastructure that supports offline operations and user-specific report generation.

A computer vision-based platform that accepts images of pet health test strips, normalizes visual data considering lighting variability, and outputs accurate diagnostic results automatically.

A comprehensive platform combining an interactive education app, an internal analytical dashboard, and AI-driven diagnostic tools to facilitate OCT analysis, training, and reporting.

A modular, cloud-based platform supporting detailed medical image annotation, AI-driven diagnosis generation, data management, and user interaction.

A comprehensive web-based platform providing secure login for users, with dashboards offering real-time, dynamic visualization of laboratory test data. The system must support custom report generation, interactive data exploration, and seamless integration with the existing LIMS, facilitating efficient data analysis and reporting.

Develop a customizable, secure web-based imaging viewer supporting multiple image and video formats, with integrated reporting tools and user preference management, optimized for performance and easy accessibility.

The system must automatically process ultrasound videos and images to detect, segment, and measure ovarian follicles. It should facilitate extraction of key parameters (diameter, surface area, perimeter), support batch processing, and generate detailed reports.

Development of a comprehensive, cloud-hosted Laboratory Information System providing user access from multiple devices, with capabilities for specimen processing, data management, and system integrations.

Development of a robust, scalable software platform capable of supporting advanced image processing, AI-driven diagnostics, and seamless integration with existing radiology workflows.

Design and develop software that enables detailed segmentation, processing, and visualization of high-resolution tissue scans, with integrated automated testing and a user-friendly interface.

A comprehensive web-based platform that allows laboratory staff to process microarray slide images, automate data calculations, and manage diagnostic samples and results, supporting both test development and routine diagnostics.

Create a full-stack, multi-tier application that receives, processes, displays, and manages eye biomechanical scan data through secure and scalable infrastructure, supporting flexible measurement patterns and detailed visualization.