Explorer Surgical x Dysnix Case Study

Revolutionizing surgical workflows with AI and secure infrastructure.

Meet Explorer Surgical

Explorer Surgical (now, a part of GHX company) is a MedTech platform designed to optimize surgical workflows and improve collaboration in operating rooms. It provides real-time, interactive abilities that help surgical teams manage tasks, track instruments, and follow step-by-step procedural workflows tailored to their roles. The platform uses AI-based surgical instrument detection and secure infrastructure to ensure precision, efficiency, and compliance with industry standards like GDPR and NIST.

Our collaboration

Before
Needed a proof of concept for AI-based software to detect and classify surgical instruments in real-time.
Required a secure infrastructure to comply with GDPR, NIST, and protect against increasing cyberattacks.
Needed to reduce human error and ensure consistent performance during surgical procedures.
Sought a cost-effective infrastructure that could scale with future demands.
After
Developed a dataset, trained a model, and created an AI-based application for surgical instrument detection.
Built a highly secure, scalable Kubernetes-based infrastructure with private topology on AWS.
Implemented IaC for reproducibility, scalability, and reduced human factor risks.
Designed a cost-efficient, multizone infrastructure with automated monitoring, alerting, and log aggregation.

Key components of the provided solution

AI-powered surgical tool detection
Recognition, classification, and tracking of surgical instruments in real-time based on the computer vision.
Scalable k8s infrastructure
Scalable, multizone architecture with private topology for compliance and security.
DevSecOps services
Comprehensive vulnerability analysis and platform security enhancements, including penetration testing and security hardening.
Data-driven workflow optimization
Real-time data collection and analysis to improve surgical efficiency and reduce variability.
Compliance-ready solutions
Ensured the platform met strict regulatory standards (e.g., GDPR, NIST) to protect sensitive medical data.
Cost-effective infrastructure design
Optimized infrastructure to balance performance and cost, ensuring scalability without unnecessary expenses.
Daniel Yavorovych
Co-Founder & CTO
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