Aidoc Medical Ltd

Michael Braginski

Elad Walach

Eugene Walach

Uri Goren Horesh

Idan Bassukevitch

Eugeniusz Walach

Yonatan Rosmarin

Idan Bassukevitz

A system for determining whether a dataset including a plurality of cross-sectional images includes a predetermined feature is provided. A first AI receives a dataset including a plurality of cross-sectional images, and analyses the dataset to identify a subset of cross-sectional images of the dataset capable of including the predetermined feature A second AI model receives a first cross-sectional image from the subset, analyses the first cross-sectional image to determine whether the first cross-sectional image includes the predetermined feature, and outputs an indication of whether the first cross-sectional image includes the predetermined feature. A processor is configured to obtain the output from the second AI model, and based on the output from the second AI model indicating that the first cross-sectional image includes the pre-determined feature, determine that the dataset includes the predetermined feature.

System for determining the presence of features in a dataset

An apparatus for analysing a head CT scan, where the head CT scan includes a plurality of cross-sections, includes a processor configured to select a first cross-section from among the plurality of cross-sections in the head CT scan; and analyse the first cross-section to determine whether the whole head CT scan was taken with contrast. The analyzing includes determining whether the first cross-section shows contrast, based on a presence of bright patches in the first cross-section, determining whether an amount of sulci in the first cross-section is below a threshold amount. In response to determining that the first cross-section shows contrast, determine that the whole head CT scan was taken with contrast, and in response to the determining that the first cross-section does not show contrast and that the amount of sulci is below the threshold amount determining that the whole head CT scan was taken without contrast.

System for detecting contrast in medical scans

A system for identifying a potential altered image includes an image analysis unit to analyse an image and output a result indicating whether the image shows a predetermined feature and a processor to obtain a first output from the image analysis unit for an image that has a plurality of pixels each having a pixel value, obtain an altered version of the image by adjusting pixel values of up to a predetermined threshold amount of pixels in the image, obtain a second output from the image analysis unit for the altered version of the image, determine whether the second output is different to the first output, and identify that the image is a potential altered image in response to determining that the second output is different to the first output.

System for detecting an adapted image

Growing community of inventors

Rishon Letzion, Israel

Michael Braginski