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. 

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.

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Biological ‘brain age’ could help pave the way for more personalized medicine

AI-powered analysis can now assess cognitive decline by noting gaps in chronological versus biological “brain age.”

Emerging imaging technologies boosted by COVID research

As the field of radiology research adapted to withstand the pandemic’s challenges, it morphed in some decidedly beneficial ways.

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AI 'candidate' fails to pass mock radiology boards

Out of 10 mock exams, the AI candidate passed two, achieving an overall accuracy of 79.5%, suggesting that the candidate is not quite “ready to graduate.” 

York University researchers demonstrate how AI can help predict brain metastasis outcomes

AI bests humans at predicting outcomes for brain radiotherapy patients

The new technology could help develop more tailored treatment plans. 

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

AI triages pneumothorax patients with differentiated diagnoses

A commercially available AI package has proven adept at distinguishing between two closely similar but unequally urgent conditions on chest X-rays.

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AI specialists ink deal with Pfizer to target cardiac amyloidosis

Cardiac amyloidosis can be especially challenging to identify and diagnose, making it a perfect target for advanced AI models.

RadNet subsidiary gets green light for breast density AI

The FDA has cleared software that automatically assesses density of breast tissue on mammography.