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.

Eye-tracking reveals radiologists' reading habits when under the influence of AI

Eye-tracking reveals radiologists' reading habits when utilizing AI support

Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.

cybersecurity cyberattack hack hackers lock protection

4 cybersecurity best practices for radiology groups

Digitization of exams has made the imaging industry a “prime target” for cybercriminals, experts wrote recently in the Journal of the American College of Radiology. 

Dana Smetherman, MD, MPH, MBA, FACR, chief executive officer of the American College of Radiology (ACR), explains a resolution at the American Medical Association (AMA) House of Delegates (HOD) 2025 meeting calling for requirements to add DICOM image interoperability to federal standards.

Radiologists call on AMA to push for new federal IT interoperability standards

Dana Smetherman, MD, CEO of the ACR, explains a resolution adopted at the American Medical Association House of Delegates meeting calling for new health IT standards. 

shocked surprised social media post defamation

ChatGPT's medical advice may be deterring women from necessary imaging

The LLM’s responses may be misleading in certain situations, which could pose problems for patients who trust the medical advice it provides.

artificial intelligence AI in healthcare

'RadGPT' system improves radiology report readability and is ready for 'immediate' use

A specialized large language model developed specifically for radiology could be key to helping patients better understand their imaging results. 

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."

cybercrime data breaches in healthcare

Newly proposed cybersecurity rule could cripple private radiology practices, RBMA says

This marks the first major update to the HIPAA Security Rule in over a decade, with HHS seeking to require multifactor authentication and written documentation of all policies. 

Nicholas Galante

AI is revolutionizing radiology workflow and patient care

Sponsored by Viz.ai

In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes. 

Around the web

The new F-18 flurpiridaz radiotracer is expected to help drive cardiac PET growth, but it requires waiting between rest and stress scans. Software from MultiFunctional Imaging can help care teams combat that problem.

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.