Vlab provides a digital platform for the collection, organization, and exploration of medical video data, including ultrasound and endoscopy recordings. This technology replaces outdated storage methods, enabling healthcare providers to enhance patient experiences, improve diagnostic accuracy, and facilitate medical education through structured datasets.
Funding
$350K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Medical video data, such as ultrasound and endoscopy recordings, is often stored using outdated methods like DVDs or flash drives, hindering efficient access and utilization. This fragmented storage limits the potential for enhanced patient experiences, improved diagnostic accuracy, and effective medical education.
Solution
Vlab offers a digital platform for the centralized collection, organization, and exploration of medical video data. The platform replaces obsolete storage methods, enabling healthcare providers to leverage video data for applications in patient care, telehealth, medical education, and the creation of structured datasets. Vlab's technology facilitates live streaming and cloud recording of obstetric ultrasounds, real-time tele-guidance in dynamic imaging exams, and centralized management of video examination databases. The platform also supports the creation of structured datasets for AI algorithm development.
Target Audience
Vlab serves diagnostic imaging companies, hospitals, medical facilities, and doctors seeking to modernize their medical video data management and improve diagnostic processes. The platform also targets medical education institutions and researchers looking to create structured datasets for AI development.
Features
- Centralized web platform for managing dynamic procedure videos, including ultrasound scans and endoscopy recordings.
- Live streaming and cloud recording of obstetric ultrasounds for remote viewing and sharing.
- Real-time tele-guidance capabilities for video examinations, enabling remote specialist support.
- Tools for creating structured datasets from medical video data for AI and machine learning applications.
- Automatic de-identification of information embedded in videos using computer vision technology.
- HIPAA and LGPD compliance with encrypted data storage.