Medical Video Data Collection for AI-Ready Surgical Video Datasets

medDARE partners with hospital sites to install cameras in operating rooms and capture the full surgical environment. Rather than recording only a narrow procedural segment, we collect video across all phases of the OR routine.

This can include:

• pre-operative preparation
• operating room setup
• the surgical procedure itself
• post-operative cleaning and turnover
• surrounding workflow activity relevant to the clinical environment

This broader approach to medical video data collection can be valuable for AI teams that need more complete surgical video datasets, richer procedural context, and real-world operating-room footage that reflects how care is actually delivered.

Endoscopy videos are recorded during minimally invasive procedures such as:

• Laparoscopic Appendectomy
• Laparoscopic Cholecystectomy
• Laparo Hernia Repair Initial

medDARE has access to the following videos recorded with various devices and in multiple hospital sites. Prospective data collection is also available for projects recorded on demand.

High-quality surgical video datasets are essential for teams building AI models that operate in clinical environments. medDARE supports the creation of medical video datasets that can help power training, validation, and research across healthcare AI use cases.

Our video data collection workflows are designed for projects involving:

• surgical video AI
• procedure recognition
• workflow analysis
• medical computer vision
• video-based clinical research
• custom dataset development for healthcare AI

By collecting medical video data in real operating-room settings, medDARE helps clients access source material that is more aligned with real-world model performance needs than generic or non-clinical video data.

In healthcare video data collection, privacy and compliance are not optional. medDARE builds consent, anonymization, and quality control directly into the workflow so clients can work with de-identified medical video data more confidently.

Staff and patient consents are collected according to HIPAA and GDPR policies. After collection, medDARE’s in-house data anonymization team uses proprietary tools to blur faces, screens, and any protected health information that may appear in the footage.

Once anonymization is complete, every video goes through a meticulous quality control process designed to help ensure no frame is missed.

Why this matters for AI teams

For healthcare AI teams, compliant video collection is not just about privacy. It is also about making sure the resulting dataset is usable, reviewable, and suitable for downstream development.