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.

Prompts matter: How input elements affect large language model performance
Just like radiologists, the performance of large language models improves when given proper context.
AI can help radiology standardize image exam data labeling
To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.
ACR partners to create AI foundational model assessment website
Christoph Wald, MD, vice chair of the American College of Radiology Board of Chancellors, explains the partnerships with academic institutions to create the Health AI Challenge will help provide a better understanding of how foundational AI models work.
Commercially available AI increases breast cancer detection by nearly 20%
Results from the world’s largest prospective artificial intelligence study revealed the system could significantly benefit breast cancer screening programs.
ACR Assess-AI national data registry tracks performance of clinical algorithms
Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.

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Prompts matter: How input elements affect large language model performance

Just like radiologists, the performance of large language models improves when given proper context.

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Video Christoph Wald explains how the Health AI Challenge help understand how foundational AI models work

ACR partners to create AI foundational model assessment website

Christoph Wald, MD, vice chair of the American College of Radiology Board of Chancellors, explains the partnerships with academic institutions to create the Health AI Challenge will help provide a better understanding of how foundational AI models work.

Commercially available AI increases breast cancer detection by nearly 20%

Results from the world’s largest prospective artificial intelligence study revealed the system could significantly benefit breast cancer screening programs.

Christoph Wald, MD, vice chair of the ACR Board, explains the new ACR Assess-AI national data registry tracks performance of clinical AI algorithms.

ACR Assess-AI national data registry tracks performance of clinical algorithms

Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.

Epic claims interoperability feature averted over 5.8M duplicative imaging exams in 1 year

This would amount to between 400,000 and 500,000 unnecessary scans each month, the Verona, Wisconsin-based vendor said in recently published research.

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Radiology provider Akumin failed to protect patient info prior to cyberattack, lawsuit claims

Gina Letizio of New Hampshire and her attorneys filed the complaint Dec. 27, seeking damages in excess of $5 million.

Can large language models break language barriers in radiology reports?

With the growing demand for virtual care and an increasingly mobile population, the need to improve communication with non-English-speaking patients is immense.