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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Abbott’s FreeStyle Libre 3 glucose monitor gains FDA clearance

Regulatory Roundup: FDA clears 2 new devices, grants breakthrough designation to advanced AI model

Catch up on several recent FDA announcements, including an update on the agency's response to the COVID-19 pandemic. 

Crowdsourced X-rays suitable for training AI in orthopedic injuries

The Internet is an acceptable source of images for training algorithms to automatically triage patients with dislocated joints and similar orthopedic emergencies. 

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4 increasingly common uses for imaging AI in the ED

As FDA-approved AI software continues to proliferate in radiology—well more than 150 products to date and rising—a trio of Yale radiologists has compiled a status report focused on AI applications available to, specifically, emergency radiology.

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Deep learning expedites normal findings on ultrafast breast screenings

AI can safely and accurately identify healthy breast tissue on ultrafast breast MRI, negating the need for a radiologist’s closer look and, in the process, lowering cancer screening costs and widening patient access to breast MRI.

Some 78% of parents OK with AI reading their child’s chest X-rays

The reception was similarly warm among parents toward AI used to assess a child’s need for antibiotics or bloodwork.

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Parents welcome AI in pediatric emergency departments, but some uncertainty remains

Family engagement is seen as critical for the implementation of AI-based clinical decision support tools in pediatrics, which the authors of this study say will play an increasing role in healthcare.

Novice medical professionals perform diagnostic quality echocardiograms with AI guidance 

AI helps novice medical assistants perform high-quality echocardiograms

In a blind pilot study, inexperienced users successfully captured images for 100% of patients using AI guidance.

lung cancer pulmonary nodule

Pulmonary embolism AI cleared

A Silicon Valley AI shop has been OK’d by the FDA to market software that automatically flags suspected pulmonary embolisms (PEs) and immediately notifies physicians.

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