Rad Ai, Inc.

Jeffrey Chang

Doktor Gurson

Eric J Purdy

Jeffrey Snell

Brandon Duderstadt

Deeptanshu Jha

Woojin Kim

Andriy Mulyar

William Boonn

John Paulett

Gregory Couch

Joseph Zachary Allen

Scott Whitney

Maxwell Taylor

Craig Warner

Christopher Johnson

Shokoufeh Kazemlou

Methods and systems described enable automatic generation of a significant portion of or all of a clinical report (e.g., radiology report), using multimodal models trained on image and language data. Methods described can transform unstructured language and image information into findings, as well as an accurate and comprehensive clinical report, in a designated style (e.g., writing style). The methods and systems described thus significantly improve performance in generation and processing of clinical reports, in relation to time saved per clinical shift, dictation effort, medical billing, and other performance factors.

Method and system for the computer-aided processing of medical images

A method for the automated annotation of radiology findings includes: receiving a set of inputs, determining a set of outputs based on the set of inputs, assigning labels to the set of inputs, and annotating the set of inputs based on the labels. Additionally, the method can include any or all of: presenting annotated inputs to a user, comparing multiple sets of inputs, transmitting a set of outputs to a radiologist report, or any other suitable processes.

System and method for automated annotation of radiology findings

A method for radiology reporting includes any or all of: determining a set of inputs, determining a template, generating a radiology report, processing the radiology report, adjusting the radiology report, and/or any other suitable steps. A system for radiology reporting includes and/or interfaces with any or all of: a set of models, a computing system, a set of databases, a user interface, user devices, and/or any other suitable system components.

System and method for radiology reporting

A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.

System and method for optimizing resource allocation

A systemfor automatically generating a field of a radiology report includes a set of one or more models. A method for automatically generating a field of a radiology report includes: receiving a radiologist identifier (radiologist ID); receiving a set of finding inputs; determining a context of each of the set of finding inputs; determining text associated with a portion or all of the radiology report based on the context and the radiologist style; and inserting the text into the report.

Method and system for automatically generating a section in a radiology report

A method for the computer-assisted implementation of radiology recommendations includes any or all of: receiving a set of inputs; determining and/or identifying a set of findings; determining a set of follow-up recommendations; and triggering a set of outputs and/or actions based on the set of follow-up recommendations. A system for the computer-assisted implementation of radiology recommendations preferably includes and/or interfaces a set of computing subsystems and/or processing subsystems, but can additionally include and/or interface with a set of devices (e.g., user devices), models, and/or any other components.

Method and system for the computer-assisted implementation of radiology recommendations

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Berkeley, CA, United States of America

Jeffrey Chang