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.

Radiology experts advocate against purging decade-old imaging data
Researchers with the University of Virginia recently aimed to answer this question, sharing their findings in the Journal of Imaging Informatics in Medicine.
Are LLMs ready for radiology? Research reveals how chatbots' performance has evolved over time
Large language models have shown great potential in medical imaging, but their success has been hindered by their wavering effectiveness. Now, nearly three years after ChatGPT's release, experts are sharing new insights.
ACR expands programs to help radiology practices integrate and trust AI
CEO Dana Smetherman, MD, MPH, MBA, explains American College of Radiology efforts to help members understand and enable easier integration of artificial intelligence.
Short-term breast cancer risk prediction improves when AI combines imaging with personal info
Understanding which women have the greatest short-term risk could enable providers to implement targeted screening strategies to ensure malignancies are caught at the earliest possible stage.
Primary care providers embrace AI-generated imaging results explanations
Stanford Health Care has developed an electronic health record-integrated tool for helping draft comments on radiology, pathology and lab findings.

Introducing IR patients to electronic outcome reporting increases likelihood they complete follow-up survey

After initial introduction to electronic quality-of-life (QOL) questionnaires for deep vein thrombosis and lymphedema, patients were more likely to complete the questionnaires remotely for their follow-up appointment, according to new research published in the Journal of the American College of Radiology.

Structured radiology reports are crucial for adrenal incidentaloma workups

New research published in the Journal of the American College of Radiology suggests a structured and thorough radiology report with the use of standardized terminology should be used to create an adequate adrenal incidentaloma workup. This may lead to increased adherence to international guidelines.

The case for structured reporting: 80% of ordering physicians say report readability should be fast, efficient

Referring physicians have distinct expectations and specific, but predominantly coherent preferences with regard to radiology reporting, according to the results of a survey issued to general practitioners and hospital-based physicians in Switzerland.

Elsevier’s decision support tool helps radiologists cut down on diagnostic errors

New research shows that STATdx, Elsevier’s new online diagnostic decision support tool, can reduce diagnostic errors by radiologists by 19 percent.

Overnight attending radiologists are handling more and more after-hours imaging—is that bad for radiology?

Many academic medical centers are shifting away from using radiology residents for after-hours imaging interpretations and turning to overnight attending radiologists instead, according to a new analysis published in Radiology.

Fujifilm to continue providing imaging solutions, support to ACR Education Center

Fujifilm Medical Systems U.S.A. announced Tuesday, Sept. 11, that it is continuing its ongoing partnership with the American College of Radiology (ACR) to provide hands-on training to radiologists at the ACR Education Center in Reston, Virginia.

Large-scale annotation makes it easier to apply deep learning to mammography datasets

A team of researchers has developed a process for large-scale clinical data annotation that makes it easier to apply deep learning to mammography, according to a new study published in the Journal of Digital Imaging.

CDC: Imaging reports among most common PHI physicians share electronically

Medical imaging reports are the second most common type of patient health information (PHI) received electronically by physicians, according to a new report from the Centers for Disease Control and Prevention (CDC). A majority of physicians who use electronic health records (EHRs) also send imaging reports, search for them and integrate them into their own records.

Imaging Informatics

Radiology experts advocate against purging decade-old imaging data

Are LLMs ready for radiology? Research reveals how chatbots' performance has evolved over time

ACR expands programs to help radiology practices integrate and trust AI

Short-term breast cancer risk prediction improves when AI combines imaging with personal info

Primary care providers embrace AI-generated imaging results explanations