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. 

New commercial partnership Cerca Magnetics develops ‘world’s most advanced’ functional brain scanner

The wearable device can scan adults and children to spot neurological disorders such as epilepsy.

Zebra cleared to market 3D printing for orthopedic surgery

An Israeli healthcare AI startup has earned a seventh green light from the FDA. Its latest algorithm can reconstruct X-rays of bones into 3D printouts with no less clarity than would be produced by advanced imaging modalities.

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Boston hospital giant-backed CorticoMetrics gains FDA clearance for AI neuroimaging software

The platform automatically segments T1-weighted MRI brain scans and generates volumetric measurement reports for radiologists.

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Mass General team creates portable, low-cost brain MRI scanner

When tested on a handful of healthy participants, the modality produced 3D brain images in about 10 minutes.

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Neuroimaging ties anxiety to accelerated Alzheimer’s disease progression

Alzheimer's remains a leading cause of mortality in people over 65, with deaths more than doubling over the past two decades, radiologists explained recently.

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Emergency radiology vendor Avicenna.AI scores Medicare coverage for stroke CT assistant

The Paris, France-based firm joins a growing list of vendors to earn these new technology add-on payments from the feds.

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‘Inattentional blindness’ may cause radiologists to miss obvious abnormalities in diagnostic images

The problem persists across physicians of varying tenure, signaling that understanding the clinical situation may be more important than experience alone.

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ACR makes ‘major’ commitment to enhance radiologists’ access to generalizable AI

The college is testing its federated learning infrastructure across seven sites in hopes of creating a robust final model that reliably works across all settings.