Koios - Version DS - Cancer Diagnosis with Smart Ultrasound Software
Cancer diagnosis with ultrasound requires great vision. Koios uses artificial intelligence and machine learning to provide clinical decision support (“DS”) for physicians and technologists when using ultrasound to detect and diagnose cancer. The result: Smart Ultrasound™ Research continues to prove that physician performance and patient outcomes improve measurably with a second expert opinion, especially one informed by a database of hundreds of thousands of images tied to pathology results. Koios DS knows, in seconds.
Software Overview
Smart. Accurate. Fast.
It's like seeing in the dark, only better.
- Precision
- Confidence
- Save Lives
- Peace of Mind
Koios supports a fast, accurate, and trusted diagnosis. Our flagship product, Koios DS Breast, is a breast cancer diagnostic assistant. Our hardware-agnostic software is compatible with all major PACS vendors and cleared by the FDA as a safe and effective aid to assist a skilled physician in analyzing breast ultrasound images .*
Koios simply sees more.
AI is no longer science fiction. Koios is proprietary software and patented methods built on proven machine learning algorithms and using data invisible to the human eye. Koios continues to 'learn', improving thanks to our growing database of ultrasound images and their pathology results. In less than two seconds, an expert opinion is at a physician's or ultrasound technologist’s fingertips.
How does it Work?
In the USA alone…
- Select a region of interest : Simply drag the Koios Owl over or click on a suspicious area using Smart Click. Koios DS does the rest.
- Analyze : In split seconds, our proprietary algorithms analyze more than 17,000 unique features per region of the image selected and processes the data, leveraging the knowledge of tens of thousands of prior cases.
- Save : Your choice: Store or export the findings or simply move on to the next case. Your Koios DS 'second expert opinion' integrates into reporting software, saving precious time, reducing errors.
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