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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Developing board-style radiology questions is resource intensive. Large language models could help

Crafting these materials is typically left up to radiologists who draw from their own educational and clinical experiences, but the process is time consuming and can incur significant costs.

AI can accurately complete leg length and angular measurements

AI tool accurately completes leg length measurements up to 87% faster than human readers

Manual leg length measurements are time-consuming and can be challenging to reproduce.

Man vs. Machine artificial intelligence AI

Skepticism and optimism: Radiologists are still divided on AI integration

AI concerns among radiologists could delay its implementation. Experts say educational initiatives could help.

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Bayer and Rad AI expand access to AI and radiology workflow solutions with new collaboration

Integrating Rad AI’s applications with Bayer's Calantic Digital Solutions platform will enable more hospitals to implement AI into their physician practices.    

It's time to ditch the disc: 'Patients are ready' for online access to imaging

With more providers now integrating imaging into their diagnostic processes, there is greater need to improve the ease of access. 

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Changes in AI-based risk scores identify women at greatest risk of developing breast cancer

The more an individual’s score changes, the greater the odds are of them being diagnosed with cancer in the near future, new research presented at SIIM 2024 suggests.

physician acceptance of generative AI

Some communication platforms bring more disruptions than improvements to workflows

A new analysis suggests that physicians who utilize secure messaging platforms for workplace communications might also spend more time taking calls.

Peter Monteleone, MD, an interventional cardiologist, national director of cardiovascular research at Ascension Health, and assistant professor, UT Austin Dell School of Medicine, explained the use of artificial intelligence (AI) to independently identify an emergency stroke or pulmonary embolism (PE) finding on a CT scan and automatically alert critical care team members. His health system uses this type of AI for earlier activation of the pulmonary embolism response team (PERT).

AI critical care software revolutionizes emergency response

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

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