International Business Machines Corporation

Merative US L.p.

Grant Covell

Marwan Sati

William Murray Stoval, Iii

Andjela Azabagic

Mark D Bronkalla

David J Schlegel

Paul W Weiss

Amanda Long

Paul R Bastide

Fang Lu

David Joseph Richmond

Rohit Ranchal

Alex Xingqi Casella

David Richmond

Ingrid Christine Lange

Manu Singh

Systems and methods for selectively processing image studies with an artificial intelligence system. One system includes an electronic processor configured to select an image study awaiting review and update a workflow status of the image study to a first status indicating that the image study has been claimed for review by the artificial intelligence system. The electronic processor is also configured to apply at least one of the plurality of rules to the image study to determine whether the image study is applicable for processing by the artificial intelligence system, and, in response to determining the image study is not applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, update the workflow status associated with the image study to a second status to make the image study available for claiming by a manual reviewer or another artificial intelligence system.

Enhancing medical imaging workflows using artificial intelligence

Embodiments of the present invention disclose a method, a computer program product, and a computer system for a drone-based network vulnerability detection system. According to embodiments of the present invention, a drone receives routes and protocols for detecting and resolving network vulnerabilities. The drone identifies one or more electronic devices connected to one or more networks within an area of interest and detects one or more network vulnerabilities of the one or more electronic devices. If the drone detects a vulnerability, the drone updates a command center and identifies a resolution to the one or more network vulnerabilities. The drone then resolves the one or more network vulnerabilities based on the identified resolution.

Detecting and patching network vulnerabilities

Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system includes a computing device including an electronic processor. The electronic processor is configured to submit at least a portion of the image study to a cognitive system, the cognitive system configured to analyze the image study using a model developed using machine learning, receive, from the cognitive system, a BI-RADS classification assigned to the image study using the model, and automatically triage the image study based on the classification assigned to the image study by the cognitive system.

Triage of patient medical condition based on cognitive classification of medical images

A computer system manages administration of substances. Information is received including administration of one or more substances and user preferences for the administration. Features of the received information are extracted, and interactions between the one or more substances and a new substance for administration are identified based on the extracted features. A schedule is generated for administration of the one or more substances and the new substance based on the interactions. Embodiments of the present invention further include a method and program product for managing administration of substances in substantially the same manner described above.

Managing personalized substance administration

Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system includes a computing device including an electronic processor. The electronic processor is configured to receive, from a cognitive system applying a model developed using computer vision and machine learning techniques based on deep learning methodology to classify image studies, a classification assigned to the image study using the model, and automatically generating a worklist based on the classification assigned to the image study using the model, the worklist prioritizing a plurality of tasks for treating the patient.

Automated worklist prioritization of patient care based on cognitive classification of medical images

Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system comprises a computing device including an electronic processor. The electronic processor is configured to receive, from a cognitive system applying a model developed using computer vision and machine learning techniques based on deep learning methodology to classify image studies, a classification assigned to the image study using the model, automatically generate a differential diagnosis for the patient based on the classification assigned by the model, and automatically adjust triaging of the image study based on the differential diagnosis.

Differential diagnosis mechanisms based on cognitive evaluation of medical images and patient data

Methods and systems for automatically triaging an image study of a patient generated as part of a medical imaging procedure. One system includes a computing device including an electronic processor. The electronic processor is configured to receive, from a cognitive system applying a model developed using computer vision and machine learning techniques based on deep learning methodology to classify image studies, a classification assigned to the image study using the model, and automatically generate a structured report for the image study based on the classification assigned by the model, the structured report accessible by a radiologist via a structured reporting system.

Automated report generation based on cognitive classification of medical images

A method of measuring performance of a computerized system is provided. A test component integrated in a client application module is configured to generate an application specific workflow to be delivered to a computing environment of one or more computing devices for measuring the performance of the computerized system. The integrated test component of the client application module is executed to deliver the application specific workflow to a server system in the computing environment. Performance data is collected based on at least one response received from the computing environment to measure the performance of the computerized system.

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Belmont, MA, United States of America

Grant Covell