Artificial Intelligence

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Many new imaging solutions were on display at the world's largest health informatics conference, held at McCormick Place in Chicago.

Radiologist David Gruen, MD, discusses some of the overarching themes from the Healthcare Information Management Systems Society's annual meeting.

End-users of various radiology IT systems offer their assessment of the software in the annual KLAS Research 2023 Best in KLAS report.

As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Cardiologists use video-based AI model to ID coronary artery disease

A team of specialists out of Cedars-Sinai developed the deep learning model using TTEs from nearly 3,000 patients.

January 26, 2023

Most radiology residents want more AI training, but few are getting it

The majority of radiology trainees have expressed interest in furthering their knowledge of artificial intelligence applications in the field, yet few are offered the opportunity to do so during the course of their education, according to new survey data.

January 20, 2023
Automated breast ultrasound (ABUS) allows for reproducible breast imaging without variation based on which sonographer performs the exam. It also can help centers were they are short on qualified breast sonographers.  Breast ultrasound can help identify cancers, or benign cysts, even in women with very dense breast tissue. At the GE Healthcare booth at RSNA.

Commercially available AI systems excel in cancer detection in dense breasts

A multi-modal AI approach can combine information from both ABUS and DM, which could be especially beneficial in resource poor regions where experienced radiologists might not be readily available.

January 18, 2023
Example of artificial intelligence generated measurements to quantify the size of a lung cancer nodule during a followup CT scan to see if the lesion is regressing with treatment. This type of automation can aid radiologists by doing the tedious, time consuming work. Photo by Dave Fornell

8 trends in radiology technology to watch in 2023

Here is a list of some key trends in radiology technology from our editors based on our coverage of the radiology market.

January 18, 2023

Bayer acquires AI solutions provider Blackford Analysis

The Edinburgh-based business made the announcement on Jan. 18, noting that the acquisition will build on the company’s goals to “improve the lives of patients and populations by unlocking the adoption and benefits of medical imaging AI.” 

January 18, 2023

AI tool predicts lung cancer without radiologists or clinical histories

The deep learning model was trained to predict risk of lung cancer in the one to six years following completion of an LDCT scan, and it does not require clinical information relative to risk factors to do so.

January 13, 2023

AI in radiology: How do rad techs feel about its use?

Many radiologic technologists strongly feel that AI technologies should be incorporated into the curriculum for today’s emerging radiographers. 

January 10, 2023

Google Health develops AI models for more accurate gestational age estimation

The models do not require manual measurements from a sonographer to estimate GA. Instead, they are able to make use of ultrasound images and videos.

January 9, 2023
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