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.

Radiomics model links brain MRI features with neuropsychological changes in Crohn's disease

Researchers hope their findings can help pave the way for more targeted therapies for individuals with Crohn's disease.

Chat GPT

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models

As these models continue to advance, it is important to understand how their performance holds up over time.

artificial intelligence robot evaluates healthcare data

Are providers too trusting of AI's advice?

“When we rely too much on whatever the computer tells us, that’s a problem."

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Pairing an alert system with CAD software halves time-to-treatment for pneumothorax

By expediting communication between radiologists and referring providers when suspicious findings are identified, the system has great potential to improve clinical outcomes in real-world scenarios, authors of a new study in JACR suggest.

Radiomics-based tool predicts fracture risk in COPD patients

Such technology can be leveraged to improve risk assessments without accruing additional expenses for patients or clinicians, potentially filling in gaps where DXA exams fall short.

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Many radiology PowerPoints inadvertently put private health information at risk

Many of these files are still readily available online, and numerous contain PHI that is “easily accessible,” a new analysis reveals.

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Incidental finding characteristics that warrant communication

Three factors are associated with true high-risk findings—imaging protocols for aortic valve implantation planning, imaging area, and cardiology department orders.

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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.

Around the web

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.
 

The two companies aim to improve patient access to high-quality MRI scans by combining their artificial intelligence capabilities.

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services.