AnX Robotica Reported AI Performance Results
The company announced that its ProScan AI technology significantly reduced review times for small-bowel capsule endoscopy.
Updated on Oct. 11, 2026 in Artificial Intelligence
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AnX Robotica shared new performance results for its NaviCam ProScan AI-assisted reading tool. The technology demonstrated a substantial reduction in the time required for physicians to review small-bowel capsule endoscopy data.
Why it matters
Automated workflows are transforming diagnostic processes by lowering the time burden on clinicians. This development highlights the growing role of specialized artificial intelligence in improving the efficiency of routine medical screenings.
The NaviCam ProScan AI-assisted reading tool reduced mean small-bowel capsule review time by 88.6% when measured against manual reading processes. A recently cleared comparator workflow achieved only a 24.7% reduction in review time.
The players
AnX Robotica
AnX Robotica is a medical technology company based in Plano, Texas, that specializes in AI-assisted capsule endoscopy systems.
The details
The performance metrics for the Plano, Texas-based company were derived from data submitted for FDA evaluation. This technology aims to replace slower manual review processes for endoscopy data with automated, AI-assisted workflows.
Timeline
AnX Robotica highlighted the ProScan clinical performance results on October 11, 2026.
The Tech Race
The development of the NaviCam ProScan AI-assisted capsule endoscopy reading technology represents a shift toward higher automation in clinical diagnostics. It positions the firm against other developers currently vying for regulatory clearance in the competitive medical imaging market.
Patients may experience faster diagnostic turnaround times as clinicians adopt these more efficient AI-assisted review tools. These advancements are designed to streamline medical workflows, potentially reducing wait times for endoscopy results.
The takeaway
Clinicians are increasingly leveraging AI to process large volumes of visual medical data more quickly. As these tools become more prevalent, the primary goal for healthcare providers will be balancing these speed improvements with consistent diagnostic accuracy.
Further reading
For additional context on how machines are changing diagnostics, explore the Artificial Intelligence section.
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