AG Mednet's Abraham Gutman on Harnessing AI in Medical Imaging

AG Mednet CEO, Abraham Gutman

Harnessing Artificial Intelligence

This week, AG Mednet's CEO Abraham Gutman spoke to a roundtable of global experts in the biotechnology community. Abraham's presentation focused on harnessing Artificial Intelligence (AI) in pixel de-identification for medical imaging. The event took place May 22-23, 2023, sponsored by the Center for Biomedical Informatics and Information Technology of the National Cancer Institute, a part of the United States National Institutes of Health, the primary U.S. government agency responsible for biomedical research.

Collaboration Leads to Discoveries

Medical imaging is vital to develop new therapies to treat disease. Collaboration and shared data leads to discoveries, yet medical images often contain protected health information (PHI). For this reason, fast and accurate de-identification is critical in the clinical trials ecosystem. AG Mednet's proven Judi Collaboration Platform incorporates best-in-class de-identification. An expert in the field, Abraham Gutman shared his insights with the clinical trials community.

To view the complete roundtable discussion hosted by the National Cancer Institute, click the video link here.

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AG Mednet's Abraham Gutman on Harnessing AI in Medical Imaging

AG Mednet CEO, Abraham Gutman

Harnessing Artificial Intelligence

This week, AG Mednet's CEO Abraham Gutman spoke to a roundtable of global experts in the biotechnology community. Abraham's presentation focused on harnessing Artificial Intelligence (AI) in pixel de-identification for medical imaging. The event took place May 22-23, 2023, sponsored by the Center for Biomedical Informatics and Information Technology of the National Cancer Institute, a part of the United States National Institutes of Health, the primary U.S. government agency responsible for biomedical research.

Collaboration Leads to Discoveries

Medical imaging is vital to develop new therapies to treat disease. Collaboration and shared data leads to discoveries, yet medical images often contain protected health information (PHI). For this reason, fast and accurate de-identification is critical in the clinical trials ecosystem. AG Mednet's proven Judi Collaboration Platform incorporates best-in-class de-identification. An expert in the field, Abraham Gutman shared his insights with the clinical trials community.

To view the complete roundtable discussion hosted by the National Cancer Institute, click the video link here.

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AG Mednet's Abraham Gutman on Harnessing AI in Medical Imaging

Adjudication

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Imaging

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Eligibility

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Monitoring

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DSMB

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Qualification

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Key Benefits for
AG Mednet's Abraham Gutman on Harnessing AI in Medical Imaging
Trials

Key Features

Workflow

Create customized workflows per event type, even within a single protocol or program

Electronic Case Report Forms

Enable eCRFs with advanced edit checks and data validation capabilities at any point in the process

De-Identification

Integrated tools enabling removal of protected health information (PHI) from document submissions

Query Management

Manage all event-related queries within the system and keep a log of all interactions

Notifications

Advanced email and web-service notifications to users based on their role

Audit Logging

Robust and compliant audit logging of all actions within Judi

Medical Imaging

Upload, de-identify, store and review medical images as part of endpoint or event submission

Role-to-Role Communications

Specific roles or groups to chat about a case or a project, detailed audit log of all interactions

Robust Reporting Infrastructure

Library of commonly-used reports to provide visibility to a given project’s status or status across a number of projects in a program. Ad hoc reports.

Dashboards and Worklists

Standard and customizable dashboards to help users visualize worklists, case status and project health

Integration

Communicate with EDC and safety systems through a well-defined web-services API

AI-Assisted Redaction

Judi’s proprietary AI-Assisted Redaction capability automatically detects potential inclusions of PHI and flags them for review, saving time and reducing regulatory risk.

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Workflow

Create customized workflows per event type, even within a single protocol or program

Electronic Case Report Forms

Enable eCRFs with advanced edit checks and data validation capabilities at any point in the process

De-Identification

Integrated tools enabling removal of protected health information (PHI) from document submissions

Query Management

Manage all event-related queries within the system and keep a log of all interactions

Notifications

Advanced email and web-service notifications to users based on their role

Audit Logging

Robust and compliant audit logging of all actions within Judi

Medical Imaging

Upload, de-identify, store and review medical images as part of endpoint or event submission

Role-to-Role Communications

Specific roles or groups to chat about a case or a project, detailed audit log of all interactions

Robust Reporting Infrastructure

Library of commonly-used reports to provide visibility to a given project’s status or status across a number of projects in a program. Ad hoc reports.

Dashboards and Worklists

Standard and customizable dashboards to help users visualize worklists, case status and project health

Integration

Communicate with EDC and safety systems through a well-defined web-services API

See Judi in Action; Request a Demo today

Contact us today to learn more about how Judi can automate, expedite, and improve your clinical trials.

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