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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Return-to-play protocols: Expert predicts radiologists will be future leaders in sports medicine

Several mainstream media outlets recently cast a bright spotlight upon the well-being of athletes who are returning to active rosters following injuries, causing many spectators to question the people in charge of making return-to-play decisions. 

New partnership seeks to streamline AI integration into lung cancer screening

A new partnership between Sirona Medical and RevealDX could streamline the process of AI integration into the clinical practice of lung nodule assessments. 

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Experts ID imaging biomarkers in kids with ADHD

The study's authors explained how MRI results can be used to help identify children with ADHD—and how these findings could be used in the AI algorithms of tomorrow. The team will be presenting its findings at RSNA 2022 in Chicago. 

synthetic contrast-enhanced breast MRI

Are synthetic contrast-enhanced breast MRI images as good as the real thing?

Synthesizing contrast-enhanced imaging from pre-contrast inputs using deep learning can help overcome obstacles involved in the use of GBCAs.

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How AI-generated 'fake' X-rays can further medical research

But how reliable can synthetic radiologic images be in research settings? Are they as good as the real thing? 

AI identifies breast lesion subtypes, could prevent unnecessary biopsies

In a new paper in Radiology, experts explain how the use of artificial intelligence to identify lesion subtypes could benefit both clinics and patients. 

New DL model detects effects of long COVID using only x-rays

The model could be beneficial for long COVID patients in areas where CT scans are not readily available, researchers concluded.

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Experts question validation transparency of FDA approved AI devices

Many AI devices have already been integrated into clinical practice, but a new analysis questions whether certain validation processes could lead to algorithm biases.

Around the web

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.