Technology

Step into the future of healthcare

Discover how our relentless innovation and refinement enable us to leverage large curated imaging datasets to create the advanced AI technologies that power our lung precision care platform

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It starts with data.
Lots of data.

With our academic & clinical partners around the world, we have curated the world’s largest collection of chest CT scans.

And as a key member of the DART collaboration, unlocking the future of lung cancer screening, we are collecting even more.

We enrich our datasets with multimodal data, spanning a wide array of variables & outcomes.

Our data in numbers

data networks from around the world

We use these data to build cutting-edge artificial intelligence models

Our AI models leverage machine learning (ML), with a focus on advanced deep learning (DL) techniques, to analyze and classify images with high precision. Trained on large datasets using Convolutional Neural Networks (CNNs), these DL models excel in processing data efficiently, enhancing image segmentation and classification. By integrating multi-modal data and radiomics, our technology pushes the boundaries of what AI can achieve in image analysis.

Our core machine learning technology in numbers

training iterations for our CNN model

custom-built input layers in our CNN architecture

proprietary algorithms powering our computer
vision and prediction models

These models are used to build our lung precision care platform

The powerful end-to-end integration of multimodal data and core radiomics & AI technologies, unique to Optellum, helps optimize and intelligently automate lung cancer & lung disease care pathways, creating the world’s only platform solution for thoracic care teams and tumor boards working with lung cancer.

Multimodal data

We leverage one of the largest curated medical imaging datasets in the world and enrich it with millions of clinical data points creating the robust foundation to train and refine our AI models.

Natural language processing AI

We use configurable & high-specificity natural language processing (NLP) technology to analyze & identify at-risk patients from unstructured radiology reports distributed across sites’ imaging assets.

Radiomics

We extract hundreds of imaging features from our data, capturing subtle variations in shape & texture among others to precisely characterize lung nodules & other abnormalities to enhance our AI models.

Deep learning (CNN) AI

We train our CNN models on millions of imaging features and patients in order to detect patterns and classify lung nodules & other abnormalities with unparalleled accuracy and speed.

This integration of technologies allows us to accurately detect, discover, and assess lung nodules to support life-saving clinical decisions. We equip & empower our clinical users to deliver AI-enhanced, human-centered healthcare, with the ultimate goal of our thoracic care platform powering solutions for every thoracic care team in every hospital.

Optellum is trusted by industry & academic leaders