Explorer Surgical x Dysnix Case Study

Revolutionizing surgical workflows with AI and secure infrastructure.

Meet Explorer Surgical

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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.

Main pain points / challenges

  • Proactive Threat Mitigation
  • Reliable AI Infrastructure
  • Continuous Monitoring and Support

Our collaboration

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

Case summary

Dysnix developed a secure, scalable Kubernetes-based infrastructure with private topology on AWS for Explorer Surgical, enabling real-time AI-powered detection, classification, and tracking of surgical instruments. The solution ensured compliance with GDPR and NIST, reduced human error, and optimized surgical workflows through data-driven insights, all while maintaining cost efficiency and automated monitoring.

Key components of the provided solution

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AI-powered surgical tool detection
Recognition, classification, and tracking of surgical instruments in real-time based on the computer vision.
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Scalable K8s infrastructure
Scalable, multizone architecture with private topology for compliance and security.
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DevSecOps services
Comprehensive vulnerability analysis and platform security enhancements, including penetration testing and security hardening.
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Data-driven workflow optimization
Real-time data collection and analysis to improve surgical efficiency and reduce variability.
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Compliance-ready solutions
Ensured the platform met strict regulatory standards (e.g., GDPR, NIST) to protect sensitive medical data.
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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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