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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Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.

nonclinical augmented intelligence american medical association

ChatGPT's medical writing is getting so good that it may soon fool AI detectors

The large language model’s medical manuscripts are becoming so well constructed that it can be difficult to distinguish them from those compiled by humans. 

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Providers' opinions on giving patients open access to their radiology reports are evolving

Online access to medical records has become standard practice, making sharing radiology reports and communicating findings much more streamlined.

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AI rules out abnormal findings on chest X-rays, significantly reducing workloads

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.

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How GPT-4 can improve radiology resident report feedback

With resources stretched thin at many facilities, this type of feedback can often be limited.

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Meta's new large language model excels at board-style radiology prompts

Meta Llama 3—a newer open-source large language model—may soon be giving other LLMs a run for their money in the medical field.

American College of Radiology (ACR) CEO Dana H. Smetherman, MD, MPH, MBA, FACR, explains why opportunistic screening is an important AI imaging technology trend radiology practices should be paying attention.

AI opportunistic screening may have tremendous potential to help patients, ACR CEO says

American College of Radiology leader Dana Smetherman, MD, MBA, discusses the new technology trend and why radiologists should be paying attention. 

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Automated CT-derived markers identify those at higher risk of developing diabetes and other conditions

These measures could be utilized as an opportunistic screening tool in individuals who undergo routine health screenings.

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Around the web

Radiology Business
Tampa General radiology rides out 2 hurricanes with strategic disaster preparedness

Raj Kedar, MD, chief of imaging, discusses how the hospital planned to continue operations last fall when faced with hurricanes Helene and Milton.
 

Radiology Business
Enhancing STAT radiology exam order efficiency to reduce turnaround time

Raj Kedar, MD, chief of radiology at Tampa General Hospital, spoke on how to reduce the number of STAT imaging exams and inappropriate exams via staff education and additional questions of orders. 

 

Radiology Business
Tariffs threaten imaging access for patients, RBMA warns

Radiology practices are already operating on razor thin margins, with price increases prompting calls for congressional action to prevent further damage.