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.

Rad Partners commercializes teleradiology platform pioneered by acquired company vRad
The product is a fully integrated, artificial intelligence-enabled technology tool, providing real-time analytics to interested outside radiology groups.
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.

Predictive model cuts back on unnecessary imaging requests for headaches in the ED

Headaches are a common complaint among patients presenting to the emergency department, with millions of cases documented annually in the United States.

AI healthcare doctor surgery procedure artificial intelligence

First-of-its-kind framework monitors real-time performance of radiology AI tools

The program provides detailed assessments of how algorithms implemented into workflows are impacting efficiency and outcomes.

Philips announces strategic partnership aimed at advancing AI in MRI

The collaboration with Nvidia—a leader in AI solutions—was unveiled Monday during the International Society for Magnetic Resonance in Medicine's annual meeting.

'ThyGPT' slashes rates of thyroid nodule biopsies

Use of the model could reduce unnecessary thyroid nodule biopsies by 40% or more, researchers suggest.

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AI-enabled platform that simplifies MRI reports expands into other modalities

This expansion comes alongside a growing trend of patients being given near immediate access to their imaging and radiology reports.

American-made GPT-4 knows no borders, translates radiology reports into different languages

New research highlights the potential of GPT-4 to enhance radiologists’ communication of findings in clinical environments across the pond.

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RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes

RamSoft, a leader in cloud-based RIS/PACS radiology solutions, and Alpha Nodus, a developer of AI-driven administrative tools for medical offices, announced their partnership on Wednesday.

MRI-based Node-RADS effectively improves staging of head and neck cancer

Use of the scoring system could offer providers valuable preoperative insight and help guide them in surgical decisions.

Imaging Informatics

Rad Partners commercializes teleradiology platform pioneered by acquired company vRad

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