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.

Female Medical Research Scientist Working with Brain Scans

Chan Zuckerberg Initiative to help fund repeat imaging of 60,000 patients

The ambitious project seeks to exponentially increase new data within the U.K. Biobank, a prominent large-scale biomedical database and research resource. 

Intelerad acquires Life Image, becomes 'largest medical image exchange network in the world'

The acquisition represents a significant advance in interoperability and will combine networks that total over 80 billion images globally, including data from institutions such as Mayo Clinic, Cleveland Clinic and New York Presbyterian Hospital.

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Might AI automation improve peer review?

With the software’s help, the ratio of CTs requiring radiologist review to missed findings identified was 10:1, experts shared, adding that without the help of AI that ratio would be at least 66:1. 

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Deep learning reconstruction levels playing field between 1.5T and 3T MRI exams

Denoising using deep learning techniques can boost the performance of 1.5T MR brain imaging, resulting in quality comparable or superior to 3T imaging. 

coronavirus COVID-19 vaccine vaccination

MRI analysis offers new insight into vaccine-related lymphadenopathy in the general population

To date, research pertaining to reactive lymphadenopathy has focused mostly on patients with cancer who are routinely staged and monitored via PET/CT or in women undergoing breast cancer screening and/or imaging with mammography and ultrasound.

Improving MRI reconstructions by combining traditional techniques with new ML tools

“We found that if you tune the classical methods, they can perform very well,” an expert involved in the research said.

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Artificial intelligence in radiology: Friend, not foe, say experts concerned about student perceptions of AI

In an effort to perhaps dissuade skepticism among medical students who are on the fence about the future of radiologists, experts in the field recently offered a detailed overview of the use of AI in imaging.

neck ultrasound thyroid

Researchers link ultrasound features with risk of thyroid cancer recurrence

In particular, the experts paid close attention to instances of extrathyroidal extension (ETE) on ultrasound.