If you need a service to upload, manage and annotate medical imaging data securely and at scale, Grand Challenge is a good all-purpose option. It's a platform for end-to-end machine learning solution development for biomedical imaging, with data management tools, secure upload and access controls, and customizable annotation protocols. It's geared for a wide range of medical imaging challenges and comes with a variety of algorithms, so it's a good fit for a large and active population of medical imaging researchers and doctors.
Another good option is Intelerad, a suite of products for managing medical imaging data. The products include IntelePACS for viewing DICOM/PACS data, InteleOrchestrator for workflow orchestration, InteleShare for secure image sharing, and more. Intelerad is used by hospitals, radiology and cardiology practices and life sciences companies, and is designed to increase efficiency and patient care with scalable and flexible software.
For those with more advanced AI needs, RamSoft's OmegaAI is a cloud-native SaaS platform that includes AI imaging for better diagnoses, immediate access to medical images, and diagnostic reporting with automated distribution. The platform also offers features like hanging protocol creation for efficient image review and real-time patient communication. OmegaAI is designed to improve patient care by streamlining workflows and ensuring strong data security.
Also worth a look is V7, a machine learning development platform with tools to automate tasks and optimize data labeling. The platform supports a wide variety of data formats and integrates with popular tools, so it's a good fit for industries like healthcare. With features like Auto-Annotate, Custom Data Workflows, and advanced image manipulation, V7 streamlines the machine learning development process while meeting regulatory requirements like SOC2, HIPAA and FDA.