Paige.ai, Inc.

Memorial Sloan Kettering Cancer Center

Matthew Hanna

Christopher Kanan

Patricia Raciti

Razik Yousfi

Brandon Rothrock

Antoine Sainson

Jeremy Daniel Kunz

Thomas Fuchs

Peter Schueffler

Dig Vijay Kumar Yarlagadda

Danielle Gorton

Systems and methods are disclosed for identifying formerly conjoined pieces of tissue in a specimen, comprising receiving one or more digital images associated with a pathology specimen, identifying a plurality of pieces of tissue by applying an instance segmentation system to the one or more digital images, the instance segmentation system having been generated by processing a plurality of training images, determining, using the instance segmentation system, a prediction of whether any of the plurality of pieces of tissue were formerly conjoined, and outputting at least one instance segmentation to a digital storage device and/or display, the instance segmentation comprising an indication of whether any of the plurality of pieces of tissue were formerly conjoined.

Systems and methods to process electronic images to provide localized semantic analysis of whole slide images

Systems and methods are disclosed for providing automated routing of medical data, comprising determining at least one rule corresponding to at least one condition and at least one receiver, receiving medical data and associated medical metadata, determining whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule, and upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

Systems and methods to process electronic images to provide automated routing of data

A computer-implemented method may identify attributes of electronic images and display the attributes. The method may include receiving one or more electronic medical images associated with a pathology specimen, determining a plurality of salient regions within the one or more electronic medical images, determining a predetermined order of the plurality of salient regions, and automatically panning, using a display, across the one or more salient regions according to the predetermined order.

Systems and methods to process electronic images to identify attributes

Described herein are systems and methods of determining primary sites from biomedical images. A computing system may identify a first biomedical image of a first sample from one of a primary site or a secondary site associated with a condition in a first subject. The computing system may apply the first biomedical image to a site prediction model comprising a plurality of weights to determine the primary site for the condition. The computing system may store an association between the first biomedical image and the primary site determined using the site prediction model.

Machine learning model for analyzing pathology data from metastatic sites

Systems and methods for processing electronic images to provide localized semantic analysis of whole slide images

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New York, NY, United States of America

Matthew Hanna