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.

AI extracts additional information, context from radiology reports

Machine learning (ML) can help providers extract all relevant facts from radiology reports in real time, according to a new study published in the Journal of Digital Imaging.

How technologists can save radiologists valuable time

Technologists can provide significant value by assigning protocols for certain CT and MRI examinations, according to a new study published in the American Journal of Roentgenology.

3 key ways blockchain could change radiology forever

Blockchain technology is gaining popularity throughout the world and could potentially have a significant impact on the medical imaging industry, according to a new analysis published in the Journal of Digital Imaging.

ACR, SIIM announce machine learning challenge for detecting pneumothorax

The Machine Learning Challenge on Pneumothorax Detection and Localization will kick-off at the SIIM 2019 Annual Meeting starting June 26 in Aurora, Colorado.

SIIM, ACR hosting new AI challenge focused on pneumothorax detection

The Society for Imaging Informatics in Medicine (SIIM) and American College of Radiology (ACR) are hosting a new machine learning challenge as part of a collaboration with the Society of Thoracic Radiology (STR) and MD.ai.

Is your medical imaging data safe? 4.4M files exposed online, according to new report

More than two billion files—including approximately 4.4 million medical imaging files—have been exposed online across various storage technologies, according to a new report from Digital Shadows.

Intelerad commits $75 Million to R&D for new AI and cloud-based medical imaging software solutions

Montreal-based software company accelerates 20-year track record of international growth.

Imaging utilization for low back pain on the rise

Imaging utilization for low back pain by primary care providers has increased in recent years, according to new findings published in the Journal of the American College of Radiology.

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