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.

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'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.

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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. 

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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. 

Manisha Bahl, MD, breast imaging division quality director and breast imaging division co-service chief, Massachusetts General Hospital, and an associate professor of radiology, Harvard Medical School, explains the findings of a recent study she was involved in at RSNA 2024. She also offers insights into growing interest at sessions in using AI in breast imaging.

What radiologists think about using ChatGPT and AI in breast imaging

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

AI beats standard regression models at predicting lung cancer risk

Not all AI or regression models are the same, nor do they all incorporate the same data when assessing patient risk.

VI-RADS threshold, imaging features predict bladder cancer invasiveness with nearly 100% accuracy

New findings related to Vesical Imaging-Reporting and Data System scores and specific MRI findings could improve the management of bladder cancer. 

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Around the web

Radiology Business
U.S. iodine contrast supply may soon be subject to 25% tariffs

If President Trump initiates a 25% tariff against pharmaceuticals imported from Ireland, it might impact the price for X-ray iodine contrast agents in the U.S. 

Cardiovascular Business
AI-enabled CCTA evaluations reduce use of invasive imaging exams

This two-year analysis of the FISH&CHIPS study found that using advanced AI from Heartflow to evaluate cardiac CT is safe, effective and limits the use of unnecessary follow-up tests.

Radiology Business
Tariffs not enough to make Siemens Healthineers move production or raise prices—yet

The imaging manufacturer expects to spend between $227 million and $340 million on tariff mitigation efforts, leaders said Wednesday.