Best Medical Imaging Software in Africa

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.

AWS HealthImaging is designed for builders who develop cloud-native medical imaging applications. HealthImaging ingests data in the DICOM P10 format and provides APIs for low-latency retrieval and purpose-built storage. Reduce costs up to 40% by employing advanced compression and storing a single copy of each image in the cloud. Access medical imaging data with subsecond image latency from anywhere, powered by cloud-native APIs and applications. Reduce the burden of infrastructure management to focus time and resources on delivering high-quality patient care. Supported by major medical imaging vendors with cloud-native medical imaging workflows. Store and stream medical imaging directly from AWS while preserving low-latency performance and high availability. Save cost on long-term image archival while maintaining subsecond image retrieval access. Run artificial intelligence and machine learning inference over the imaging archive with support from other tools and services.

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.

Ibex Medical Analytics is the pioneer in AI-powered cancer diagnostics in pathology. We are a multidisciplinary team of entrepreneurs, data scientists, software engineers and medical experts, working together to realize our vision is transforming cancer diagnostics with AI and improving patient care. Pathologists are challenged to provide accurate and timely analysis as the number of tests increases every year. Ibex uses artificial intelligence (AI) to develop clinical-grade solutions that help detect cancer as accurately as a human pathologist. Galen Platform uses algorithms to analyze images, detect and grade cancer in biopsies and point to other findings with high clinical importance, helping pathologists reduce diagnostic error rates and enable a more efficient workflow. Ibex’s Galen™ Prostate and Galen™ Breast are the first-ever AI-based cancer detection solutions used in routine clinical practice in pathology labs, with demonstrated success in detecting missed cancer cases.

NilRead is a universal diagnostic viewer that can handle the clinical viewing needs of referring physicians and clinicians, as well as the advanced clinical visualization requirements of radiology or a specialty-imaging department. NilRead supports dynamic care decisions with workflow and viewing experiences.

Fovia's XStream HDVR SDK Suite offers a comprehensive set of tools for advanced visualization, enabling seamless integration into various platforms, including enterprise-wide networks, standalone workstations, and cloud-based mobile applications. The suite includes components such as F.A.S.T. Interactive Segmentation for dynamic 3D segmentation, F.A.S.T. RapidPrint for streamlined volume-to-print workflows, and F.A.S.T. Cloud SDK for cloud-based advanced visualization. These tools facilitate the development of custom workflows and high-performance interactive imaging applications. Fovia provides a user-friendly API, custom integration assistance, and a comprehensive feature set to meet diverse needs in the advanced visualization market.

EndoManager Imaging by NewCura is a versatile, cost-effective endoscopic imaging solution designed to integrate seamlessly with any EMR/EHR or PACS system using industry-standard HL7, DICOM, and API interfaces, including Epic Lumens and Oracle Cerner. It supports a wide range of endoscopic equipment, including Fujifilm, Olympus, Pentax, and other camera systems, enabling full HD image and video capture. It accommodates multiple video inputs from modalities such as EUS, EBUS, SpyGlass, Flora, and FEES, making it suitable for various clinical settings. EndoManager Imaging features an intuitive interface with a one-click exam start, reducing staff workload and enhancing workflow efficiency. It automatically sends exam and scope data to NewCura's ScopeCycle for endoscope tracking, ensuring compliance with reprocessing protocols.