Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

AI beats standard regression models at predicting lung cancer risk
Not all AI or regression models are the same, nor do they all incorporate the same data when assessing patient risk.
VI-RADS threshold, imaging features predict bladder cancer invasiveness with nearly 100% accuracy
New findings related to Vesical Imaging-Reporting and Data System scores and specific MRI findings could improve the management of bladder cancer.
Chinese hackers use malware disguised as imaging viewers to steal patient data
The software has been primarily disguised as Philips’ DICOM MediaViewerLauncher.exe—a trusted program that enables patients to view their medical imaging on their own personal servers.
5 steps for evaluating radiology AI applications
Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI.
Adaptable AI system detects subtle changes in imaging, has potential across multiple clinical settings
The Learning-based Inference of Longitudinal imAge Changes, or LILAC, system harnesses machine learning to review medical images that have been collected over a prolonged period.

AI beats standard regression models at predicting lung cancer risk

Not all AI or regression models are the same, nor do they all incorporate the same data when assessing patient risk.

VI-RADS threshold, imaging features predict bladder cancer invasiveness with nearly 100% accuracy

New findings related to Vesical Imaging-Reporting and Data System scores and specific MRI findings could improve the management of bladder cancer.

Chinese hackers use malware disguised as imaging viewers to steal patient data

The software has been primarily disguised as Philips’ DICOM MediaViewerLauncher.exe—a trusted program that enables patients to view their medical imaging on their own personal servers.

Jason Poff, MD, director of innovation deployment for artificial intelligence (AI) at RadPartners, explains the five-step process he uses to evaluate medical imaging AI.

5 steps for evaluating radiology AI applications

Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI.

AI detects subtle changes in images over time.

Adaptable AI system detects subtle changes in imaging, has potential across multiple clinical settings

The Learning-based Inference of Longitudinal imAge Changes, or LILAC, system harnesses machine learning to review medical images that have been collected over a prolonged period.

PocketHealth's Image Readers helps patients understand their radiology report findings.

Newly launched report feature provides patients with a visual aid to their imaging

The artificial intelligence-enabled feature can be integrated directly into patients’ imaging results.

New algorithm models radiologists' eye movements to interpret chest X-rays

The algorithm has an edge over standard black box-style artificial intelligence applications because providers are able to see how it reaches conclusions.

Risk prediction algorithm slashes number of unnecessary thyroid nodule biopsies

Although the vast majority of nodules are benign, many are referred for biopsy as a precaution to rule out malignancy.

Around the web

Cardiovascular Business

ASE updates recommendations for assessing right heart function in patients with pulmonary hypertension

The new guidelines were designed to ensure sonographers and other members of the heart team have the information they need to screen patients when appropriate and identify early warnings signs of PH.

Radiology Business

Shift toward imaging outside the hospital could save billions

Harvard’s David A. Rosman, MD, MBA, explains how moving imaging outside of hospitals could save billions of dollars for U.S. healthcare.

Cardiovascular Business

‘A significant milestone’: First US patients receive doses of new PET radiotracer for CAD

Back in September, the FDA approved GE HealthCare’s new PET radiotracer, flurpiridaz F-18, for patients with known or suspected CAD. It is seen by many in the industry as a major step forward in patient care.