Ultrazonic

Instrument Cleaning With Artificial Intelligence

Artificial intelligence helps you turn instrument and endoscopy cleaning into a more consistent, controlled workflow. At UltraZonic, we have built cleaning solutions that combine automation, traceability, and AI-driven guidance. By using artificial intelligence when cleaning instruments, you standardize critical steps across users and shifts, strengthen patient safety, and make compliance easier to demonstrate.

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US & EU Patent

Pioneer in automated pre-cleaning

Certified quality (CE, LGA and ISO 13485)

How Artificial Intelligence Supports Cleaning Medical Instruments

In a medical environment, artificial intelligence adds control where variation and time pressure are highest: instrument cleaning, supporting inspection, and standardizing documentation across shifts. When applied to cleaning medical instruments, AI helps convert routine decisions into consistent, traceable steps. This way, we can prevent infections and handle deviations such as repeated processing failures in a structured way. This is especially relevant for complex geometries and high-throughput departments, where small inconsistencies in handling or cleaning can propagate into downstream disinfection and sterilization processes.

How We Apply AI Through ENDO And MED

We apply AI by focusing on repeatable execution and documented evidence of critical cleaning steps. We have developed an endoscopy cleaning device, ENDO, that uses artificial intelligence for the automated pre-treatment stage. Steps are less likely to be shortened or missed, and the procedure is linked to track-and-trace documentation.

We have also developed MED, an ultrasonic cleaner for medical instruments. It uses artificial intelligence to support controlled, repeatable ultrasonic pre-treatment for surgical instruments, reducing operator dependency and helping stabilize inputs before disinfection and sterilization.

Nancy With Endo

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Benefits of Using AI in Clinical Environments

When cleaning instruments and endoscopes, artificial intelligence adds value where results are most sensitive to small deviations in execution and verification. AI supports more consistent cleaning outcomes and fewer cleaning-related failures:

  • More consistent verification of cleaning results by standardizing what is checked and how findings are recorded.
  • Earlier identification of residual soil indicators and repeat contamination patterns, reducing the risk of failed downstream processing.
  • Fewer re-clean cycles caused by missed inspection steps or inconsistent acceptance criteria across operators.
  • Better control of cleaning-related exceptions through structured flags, documented decisions, and clearer root-cause tracking.
  • Stronger infection control for surgical instruments by improving set integrity checks and reducing undocumented variation during cleaning and inspection.
  • Better control of infections for endoscopy by reinforcing completeness and timing discipline in early-step workflows.

Standardize Cleaning Workflows With AI-Supported Control

Using artificial intelligence when cleaning instruments and endoscopes supports patient safety by making cleaning workflows more consistent across shifts and device types. Contact us to discuss how AI-supported workflow control can fit within your current sterile processing procedures. 

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AZ Vesalius
Chirec
H. Hartziekenhuis Mol
AZ Rivierenland
Mouscron
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