Annalise Ai Pty Ltd

Annalise Al Pty Ltd

Harrison-ai Medical Pty Ltd

Marc Justin Nothrop

Dang-Dinh-Ang Tran

David Huang

Yeri Hwang

Benjamin Matthew Austin

David Vuong

Xavier Holt

Aaron Lee

Marco Amoroso

Jarrel Seah

Nicolaus Carr

Jeffrey Wardman

Display screen or portion thereof with a transitional graphical user interface for presenting AI predictions of two-dimensional radioanatomy images

Display screen or portion thereof with a transitional graphical user interface for presenting AI predictions of three-dimensional radioanatomy volumes

This disclosure relates to detecting visual findings in anatomical images. Methods comprise inputting anatomical images into a neural network to output a feature vector and computing an indication of visual findings being present in the images by a dense layer of the neural network that takes as input the feature vector and outputs an indication of whether each of the visual findings is present in the anatomical images. The neural network is trained on a training dataset including anatomical images, and labels associated with the anatomical images and each of the visual findings. The visual findings may be organised as a hierarchical ontology tree. The neural network may be trained by evaluating the performance of neural networks in detecting the visual findings and a negation pair class which comprises anatomical images where a first visual finding is identified in the absence of a second visual finding.

Systems and methods for automated analysis of medical images

Display screen or portion thereof with a transitional graphical user interface for AI predictions of radioanatomy images

Growing community of inventors

Sydney, Australia

Marc Justin Nothrop