News | Artificial Intelligence | July 26, 2019

Progenics Pharmaceuticals Collaborating With Veterans Affairs on AI Cancer Imaging Research Program

Collaboration with VA Greater Los Angeles Healthcare System is nation’s first to validate deep learning algorithms in medical imaging of veterans with prostate cancer

Progenics Pharmaceuticals Collaborating With Veterans Affairs on AI Research Program

July 26, 2019 — Oncology company Progenics Pharmaceuticals Inc. announced their collaboration with the Veterans Affairs Greater Los Angeles Healthcare System (VAGLAHS) on Progenics’ artificial intelligence (AI) research program. The collaborative AI research program aims to apply machine learning to medical imaging modalities, enabling standardized, information-driven healthcare practices in prostate cancer. The project is the nation’s first collaborative effort to validate cutting-edge machine learning tools for improving treatment management of veterans with prostate cancer.

Progenics CEO Mark Baker said the company believes that AI can be applied successfully to automate the segmentation, classification and quantification of tumors. Matthew Rettig, M.D., chief of hematology-oncology at VAGLAHS, will be one of the leads on the project.

In the project, the VAGLAHS network will gain access to Progenics’ machine learning platforms, which includes the automated Bone Scan Index (aBSI) and the PSMA-AI platforms. The collaboration would explore novel predictive machine learning algorithms from the digital medical images and its associated clinical outcomes. These novel algorithms would be prospectively validated at VAGLAHS for effective healthcare management of veterans with prostate cancer.

The research collaboration will take every step necessary to protect the veterans’ data. All image and associated clinical data would be anonymized before being processed by the Progenics’ AI platform. Progenics’ AI platform is designed, developed, deployed and maintained according to cybersecurity guidance; NIST cybersecurity framework, the Open Web Application Security Project (OWASP). All data handled by the platform is encrypted in transit and at rest.

For more information: www.progenics.com

Related Content

Schematic diagram of the proposed multichannel deep neural network model analyzing multiscale functional brain connectome for a classification task. rsfMRI = resting-state functional MRI.

Schematic diagram of the proposed multichannel deep neural network model analyzing multiscale functional brain connectome for a classification task. rsfMRI = resting-state functional MRI. Graphic courtesy of the Radiological Society of North America.

News | Artificial Intelligence | December 11, 2019
December 11, 2019 — Deep learning, a type of arti...
#RSNA19 A sophisticated type of artificial intelligence (AI) can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a study published in the journal Radiology.

Image courtesy of GE Healthcare

News | Artificial Intelligence | December 03, 2019
December 3, 2019 — A sophisticated type of...
REiLI AI platform auto segmentation.
News | Artificial Intelligence | November 30, 2019
December 1, 2019 — Fujifilm Medical Systems U.S.A.
#RSNA19 Dynamics enables a radiologist to compare X-rays and provide automatically generated reports specifically addressing the changes in images over the course of patient treatment. Initially Dynamics feature will support longitudinal comparison for pneumothorax, consolidation, mass, nodule, pleural effusion, pulmonary edema and lung congestion radiological findings where progress reports are of greatest importance
News | Artificial Intelligence | November 29, 2019
November 29, 2019 — At RSNA19 Oxipit will offer a first public p
Prof. Dr. Samer Ezziddin from Saarland University/Saarland University Hospital.

Prof. Dr. Samer Ezziddin from Saarland University/Saarland University Hospital. Photo courtesy of Thorsten Mohr/Saarland University

News | Prostate Cancer | November 28, 2019
November 28, 2019 — Reports of new cancer treatments
XACT Robotics is advancing the field of radiology, pioneering the first hands-free robotic system, combining image-based planning and navigation with instrument insertion and steering capabilities
News | Artificial Intelligence | November 26, 2019
November 26, 2019 — XACT Robotics Ltd.
 Lunit INSIGHT CXR

A radiologist conducts an interpretation of a chest x-ray image with Lunit INSIGHT CXR analysis.

News | Digital Radiography (DR) | November 25, 2019
November 25, 2019 — Lunit announced the certification of CE mark for its most up-