A Look Back at the SGUM Conference: Intellimed Showcases Koios Medical’s Innovative AI for Ultrasound

intellimed was pleased to participate in this year’s SGUM conference, a must-attend event for ultrasound and medical imaging professionals in Switzerland. The event provided an opportunity to network, share clinical experiences, and learn about the latest technological advances in the field.

At the heart of our business is the artificial intelligence solution developed by Koios Medical, designed for ultrasound analysis in breast imaging and thyroid pathology. This technology aims to standardize interpretation, reduce inter-operator variability, and support clinical decision-making in a reliable and reproducible manner.

Koios Medical: AI designed for clinical practice

The Koios Medical solution integrates directly into the sonographer’s workflow.
It analyzes ultrasound images in real time and provides an automated risk assessment, drawing on millions of training data points and robust clinical studies.

  • Standardization of diagnosis

  • Time savings in the assessment of injuries

  • Reducing uncertainty in cases of ambiguous images

  • Reliable support for treatment decisions

This technology is not intended to replace medical expertise—on the contrary, it aims to enhance it by providing an objective analytical framework.

Acknowledgments

We would like to extend our heartfelt thanks to everyone who stopped by our booth, as well as to our partners for their collaboration.
Your commitment strengthens our resolve to support the medical community in achieving more accurate, consistent, and effective imaging.

Koios Medical
Koios Medical develops artificial intelligence solutions for ultrasound image analysis.
Its flagship software, Koios DS SmartUltrasound, assists radiologists in evaluating breast and thyroid nodules, providing real-time analysis based on several million clinically validated images.
AI provides BI-RADS/TI-RADS classification, malignancy probability, and immediate decision support.
This technology improves diagnostic accuracy, reduces inter-reader variability, and enhances clinical confidence.
👉 www.koiosmedical.com
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