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. 

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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. 

radiology residents give back

Deep learning model enables routine radiographs to be used for osteoporosis screening

Many people with low bone mineral density are not aware of their condition because they fail to get screened through DXA or are not eligible due to age.

Breast cancer AI ribbon pink artificial intelligence

AI effectively flags mammograms of women who would benefit from supplemental MRI

Experts involved in the algorithm's development believe its time-saving potential could help improve both radiologist workflows and patient outcomes. 

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Around the web

Cardiovascular Business
GE HealthCare launches new cardiac CT scanner with advanced AI capabilities

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Cardiovascular Business
Bracco updates HeartSee coronary flow capacity software with new diagnostic features

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

Cardiovascular Business
Key trends in diagnostic heart testing: CT on the rise as some traditional techniques fall out of favor

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.