Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

Radiology Partners launches new technology services division
The country’s largest imaging group—with 4,000 radiologists working across all 50 states—is rolling out an offshoot called Mosaic Clinical Technologies.
GPT-4o's 'all or nothing' accuracy continues to hinder its radiologic capabilities
The model has been trained to process and generate text, images and audio, which has made it a target for researchers seeking ways to improve both radiology workflows and access to quality care in rural settings.
The FDA has cleared more than 1,200 clinical AIs—and submissions are increasing
In the past year, there has been a record number of new medical AI submissions, resulting in 300 new clinical AI clearances. The number of submissions has been steadily rising over the past decade.
PET imaging provider hit with multi-state phishing attack
Nashville, Tennessee-based Integrated Oncology Network alerted Health and Human Services in late June about the hacking incident, with thousands potentially affected.
Cardiology still No. 2 in FDA-cleared clinical AI algorithms, trailing only radiology
Cardiology continues to be one of the most influential healthcare specialties when it comes to utilizing artificial intelligence.

Radiology Partners launches new technology services division

The country’s largest imaging group—with 4,000 radiologists working across all 50 states—is rolling out an offshoot called Mosaic Clinical Technologies.

ChatGPT large language models radiology health care

GPT-4o's 'all or nothing' accuracy continues to hinder its radiologic capabilities

The model has been trained to process and generate text, images and audio, which has made it a target for researchers seeking ways to improve both radiology workflows and access to quality care in rural settings.

The AI enabled Dental Image Analyzer from DentalMonitoring uses a smartphone to scan a patient's mouth and the AI reconstructs a complete model of the mouth to compare with prior images to track the progress of orthodontic work at home. The FDA cleared the technology in cleared 2024. Photo by Dave Fornell Vivian Fornell

The FDA has cleared more than 1,200 clinical AIs—and submissions are increasing

In the past year, there has been a record number of new medical AI submissions, resulting in 300 new clinical AI clearances. The number of submissions has been steadily rising over the past decade.

PET imaging provider hit with multi-state phishing attack

Nashville, Tennessee-based Integrated Oncology Network alerted Health and Human Services in late June about the hacking incident, with thousands potentially affected.

An example of artificial intelligence automated coronary artery calcium scoring shown by Coreline at ACC23. The AI also identifies and color codes the anatomy so help show the reviewing radiologist or cardiac imager what and where things were calculated. #ACC #ACC23

Cardiology still No. 2 in FDA-cleared clinical AI algorithms, trailing only radiology

Cardiology continues to be one of the most influential healthcare specialties when it comes to utilizing artificial intelligence.

Eye-tracking reveals radiologists' reading habits when under the influence of AI

Eye-tracking reveals radiologists' reading habits when utilizing AI support

Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.

radiology report bubbles translate informatics imaging

Most oncologists prefer cancer-specific structured radiology reports

Despite this, not all radiologists are on board with routinely using oncology templates.

radiology reporting EHR health record CDS AUC

'Technical issue' prevents providers from receiving alerts on actionable imaging findings for 3 years

The system uses color coded flags to alert general practitioners that a patient's imaging report contains "serious or unexpected” findings.