Optum Technology, Inc.

Genesis Microchip Corporation

Siemens Medical Solutions Usa, Inc.

Ge Precision Healthcare LLC

Optum, Inc.

Siemens Information Systems, Ltd.

Shashi Kumar

Suman Roy

Amit Kumar

Arun Johary

Hari N Nair

Neha Agrawal

Saif Choudhary

Xiang Sean Zhou

Arun Krishnan

Ahmed Selim

Ayan Sengupta

Riccardo Mattivi

Vijay Varma Malladi

Venkat Raghavan Ramamurthy

Tanmoy Chakraborty

William Scott Paka

Chiranjeevi Ramanatha

Sourabh Kumar Bhattacharjee

Rahul Chetlangia

Prakhar Pratap

Avinash Jha

Vishal Pathak

Karthikeyan Kaliyamoorthi

There is a need for more effective and efficient text categorization. This need can be addressed by, for example, techniques for semantic text categorization. In one example, a method includes determining an input vector-based representation of an input document; processing the input vector-based representation using a trained supervised machine learning model to generate the categorization based at least in part on the input vector-based representation, wherein: (i) the trained supervised machine learning model has been trained using automatically-generated training data, and (ii) the automatically generated training data is generated by determining an inferred semantic label for each unlabeled training document of one or more unlabeled training documents; and performing one or more categorization-based actions based at least in part on the categorization, and (iii) the labels are described by one or more short documents/short texts.

Unsupervised approach to assignment of pre-defined labels to text documents

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing text similarity determination. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform text similarity determination by using at least one of Word Mover's Similarity measures, Relaxed Word Mover's Similarity measures, and Related Relaxed Word Mover's Similarity measures.

Machine learning techniques for word-based text similarity determinations

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis on document data objects that are associated with an ontology graph. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations on document data objects that are associated with an ontology graph using document embeddings that are generated by graph-embedding-based paragraph vector machine learning models.

Graph-embedding-based paragraph vector machine learning models

Various methods and systems are provided for generating an optimized workflow and assisting in clinical decision making during analysis of a patient image by a user at a site. In an example, a method includes automatically identifying one or more exam parameters associated with a diagnostic exam that includes one or more medical images and automatically generating a workflow for analyzing the one or more medical images, the workflow including one or more of a diagnostic protocol, a toolset, a prior imaging scan, a prior finding, and a reference image, the workflow generated based on the one or more exam parameters.

Methods and systems for workflow management

There is a need for more effective and efficient natural language processing. This need can be addressed by, for example, solutions for performing/executing natural language processing using hybrid document embedding. In one example, a method includes identifying a natural language document associated with one or more document attributes, wherein the natural language document comprises one or more natural language words; determining an attribute-based document embedding for the natural language document, wherein the attribute-based document embedding is generated based on a document vector for the natural language document and a word vector for each natural language word of the one or more natural language words; processing the attribute-based document embedding using a predictive inference model to determine one or more document-related predictions for the natural language document; and performing one or more prediction-based actions based on the one or more document-related predictions.

Natural language processing using hybrid document embedding

A method for lesion detection includes acquiring pre-therapy medical image data from a first modality. Post-therapy medical image data is acquired from a second modality. A transformation matrix for transforming from an image space of the first modality to an image space of the second modality is calculated. A volume of interest is defined from the medical image data of the first modality. The volume of interest includes one or more lesions. The volume of interest is automatically copied to the medical image data of the second modality using the calculated transformation matrix. Treatment is directed to the lesion using the medical image data of the second modality including the copied volume of interest data.

Lesion quantification and tracking using multiple modalities

An apparatus and method for allowing color adjustments in display devices is disclosed The apparatus comprises a multi-resolution structure for providing color adjustments; and an interpolator for interpolating at least one offset of the multi-resolution structure. An apparatus and method in accordance with the present invention uses a combination of color look-up tables with different levels of resolution, followed by interpolation to provide a display process which has high resolution but utilizes minimal memory. In so doing, memory is used for high-resolution areas only where needed. The multi-resolution structure is a very good approximation to the theoretical mapping table in the areas where it is needed. At the same time, since the high resolution areas are localized, a significant reduction in memory storage is possible.

Apparatus and method for multi-resolution color mapping for display devices

Growing community of inventors

Bengaluru, India

Shashi Kumar