contextflow revolutionizes the medical information search process with the help of deep learning: our 3D image-based search engine for radiologists looks for regions of interest within images (currently 18+ patterns in lung CTs); when a suspicious pattern is detected, we immediately find visually similar cases, descriptions and relevant reference information, affording doctors easy access to knowledge currently hidden in large medical image data and their associated reports...all within seconds. No more paging through books, guessing the right keyword or consulting various text-based reference search engines. In addition, our software can be configured to allow for prioritization of cases where patterns of interest are detected.
"With the contextflow image search technology we can easily place a new case in the context of similar cases and their findings, providing us with an objective reference check."
Based on a marked region of interest within a second contextflow image search finds visually similar cases, frequent findings and relevant reference cases, bringing case relevant information closer to the point of care. Our system is trained on more than 10,000 clinical Lung CT scans which we also provide as search result reference database within our product.