Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Video of James Min, MD, explaining the future of cardiac care using CT and AI plaque analysis to create a personalized and more accurate cardiac risk assessment, similar to a mammogram for the heart.

Embracing the future: James Min left academia to push for a paradigm shift in preventive cardiology

James Min, MD, Cleerly's founder and CEO, changed careers to address what he saw as a major unmet need in cardiology.

thyroid biopsy

Risk prediction algorithm slashes number of unnecessary thyroid nodule biopsies

Although the vast majority of nodules are benign, many are referred for biopsy as a precaution to rule out malignancy.

data standardization Enlitic enterprise imaging

GE HealthCare taps Enlitic for large-scale imaging data migration plans

The duo announced the partnership on Monday, stating that the collaboration marks “a shift in how healthcare institutions approach data.” 

New AI model segments 80 MRI structures

Easy-to-use AI model effectively segments 80 structures on MRI

New data suggest the model outperforms publicly available segmentation algorithms.  

SubtleHD receives FDA clearance for AI-powered MRI solutions

FDA clears AI software capable of reducing MRI acquisition times by up to 80%

The product was developed to both improve image quality and shorten image acquisition times. 

Deep learning reconstruction improves breast MRI quality

Deep learning reconstruction cuts breast MRI scan times in half

The use of DLR also provides greater flexibility with protocols in comparison to conventional single-shot echo-planar imaging.

colorectal cancer colon CTC CRC colonoscopy

AI spots missed colorectal cancers on routine CT scans

Rates of colorectal cancer are on the rise, most notably in younger adults, who have seen CRC diagnoses double over the last decade.

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Perplexity scores improve identification of fraudulent AI writings

Though numerous web-based tools have been created to flag published works that appear suspicious for AI authorship, the performances of these tools has been inconsistent thus far. 

Around the web

After three years of intermittent shortages of nuclear imaging tracer technetium-99m pyrophosphate, there are no signs of the shortage abating.

GE HealthCare said the price of iodine contrast increased by more than 200% between 2017 to 2023. Will new Chinese tariffs drive costs even higher?

These risks appear to be present regardless of a person's age or health at the time of infection.