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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GPT-4 as accurate as neurologists in predicting final diagnosis based on MRI reports

The large language model can also outperform other human providers, radiologists included, new study shows.

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Providing chatbots with guideline context significantly improves their imaging recs

With proper prompts and appropriate context, chatbots can play a valuable role in imaging referrals. 

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Referring providers share preferences for radiology report templates

New research suggests that there might not be a straightforward answer to questions related to which type of reporting method is ideal. 

lung cancer screening

Large language models not quite ready for cancer staging responsibilities

Although LLMs have seen rapid advancement in recent years, they still cannot compare to human radiologists when it comes to staging cancer using free text reports. 

radiology report bubbles translate informatics imaging

Automated feedback improves trainee reports, especially during after-hours

Such tools can be especially beneficial for trainees working late-night shifts, when quality feedback is generally delayed and more difficult to come by.

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Many radiologists still unfamiliar with opportunistic screening applications

Although AI implementation in clinical practice has taken flight in recent years, opportunistic screening utilization has been less common.

artificial intelligence robot evaluates healthcare data

Healthcare AI company launches radiology-specific vision language model

Harrison.rad.1 can conduct chats related to imaging, identify and localize X-ray findings, generate reports and provide its reasoning based on patient history and clinical context.

ChatGPT large language models radiology health care

GPT-4 is better at explaining IR procedures than physicians

The demand for interventional radiology procedures is growing, but it is a specialty for which health literacy is lacking.

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