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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Can large language models break language barriers in radiology reports?

With the growing demand for virtual care and an increasingly mobile population, the need to improve communication with non-English-speaking patients is immense. 

How AI 'cheating' could impact algorithm reliability

A new study on the implications of AI shortcutting has experts raising concerns about the integration of the technology into medicine.

FDA Commissioner Robert Califf, MD, explains the U.S. is spending the most on healthcare of any country, but has poorer outcomes than other western nations. He said healthcare reform is needed to change that course. #Healthdisparities #healthequity

FDA commissioner urges health systems to strengthen AI quality oversight

FDA Commissioner Robert Califf, MD, explains the need for hospitals to perform quality assurance checks on clinical artificial intelligence to ensure these technologies don't "drift" from what was originally cleared by the FDA.
 

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.

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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.

Muzammil A. Shafi, MD

How Konica Minolta’s next generation, cloud-based enterprise imaging is powering one practice’s growth

Sponsored by Konica Minolta

Finding the right enterprise imaging system is critical for radiology practices and hospitals that need to expand and scale their image management and reading capacity. For Houston Northwest Radiology Association, a large increase in the volume of images they manage for clients means it’s time to commit to a next-gen EI system.