In its first version, the ‘Komombo’s doctor assistant solution' will analyse and provide insights to help in the diagnosis of the rare disease “idiopathic pulmonary fibrosis”.
The utility is focused on enabling Computer Vision capabilities. Komombo will assist in spotting shapes, patterns and the relative location of objects on an image, etc.
For this reason, ‘Komombo’s doctor assistant’ is set to be useful to any medical practitioner that analyzes images to better understand the anatomy of either individual patients or population groups.
Pathologists, radiologists, epidemiologists, biomedical engineers, data scientists, medical researchers, and clinicians would benefit from our platform.
In this specific case, Komombo looks for fiber density, group locators -as rare samples are located in a specific part of the organ-, grouping of granulomes, and detect unhealthy lungs through an X-ray.
As a result of the analysis, the user gets an annotated image. This means that the original image is shown with marks that are highlighting the areas where the AI engine has spotted the signs that lead to a diagnosis of the illness.