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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Radiology research activities down markedly during pandemic, RSNA COVID-19 task force says

The data can help department leaders better understand “discontinuity” in staff productivity and inform promotion considerations. 

New hope for ‘mechanically dynamic’ tissue that’s been damaged

Mechanical engineers have developed injectable hydrogels that can fuse with frequently moving tissues—like those of the heart, muscles and vocal cords—to repair damage and restore function.

Printed ‘skin’ hastens healing, lessens scarring

Researchers have demonstrated the 3D bioprinting of artificial human skin so lifelike it can quickly fuse with damaged tissue from the surface (epidermis) through the midlevel (dermis) and into the underlying fatty layer (hypodermis).

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‘Important step forward’: Automated echo scores vary less than sonographers’ measurements

This study brings light to the prospect of a "fully automated solution" for echocardiogram analysis, experts reported.

New machine learning model double-checks its own work for unpredictability on breast cancer imaging

Experts noted a "significant" reduction in false positives and false negatives using their modified machine learning model.

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Nuance launches ‘Precision Imaging Network’ providing AI first reads to relieve overburdened docs

The platform runs on Azure, a cloud computing service operated by Microsoft, which recently announced plans to acquire Nuance for $20B. 

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ACR urges radiologists to take charge of artificial intelligence development, protect patient safety

The first federated learning experiment will kick off in early 2022, aiming to produce a “highly accurate” COVID-19 classification model through collaboration. 

Notable regulatory approvals of emerging technologies over the past 30 days

Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing and visualization, robotics and other innovative technologies changing healthcare delivery.