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.

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.

How radiology groups can contain damage from future cyberattacks

Radiologists with Harvard Medical School gave guidance to peers in a perspective piece published Tuesday in Academic Radiology.

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.

data standardization Enlitic enterprise imaging

GE HealthCare taps Enlitic for large-scale imaging data migration plans

The duo announced the partnership on Monday, stating that the collaboration marks “a shift in how healthcare institutions approach data.”

Easy-to-use AI model effectively segments 80 structures on MRI

New data suggest the model outperforms publicly available segmentation algorithms.

Radiology practice SimonMed Imaging suffers apparent ransomware attack

Hacker group Medusa claimed responsibility for the cyberattack on its blog, according to a report published Tuesday.

Perplexity scores improve identification of fraudulent AI writings

Though numerous web-based tools have been created to flag published works that appear suspicious for AI authorship, the performances of these tools has been inconsistent thus far.

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