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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Medical AI specialist gains FDA clearance for new cardiothoracic imaging algorithm

Imbio's tool automates heart ventricle measurements to provide doctors with an accurate ratio of right- versus left-ventricle diameter.

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Viz.ai raises $71M to focus its AI capabilities on cardiology, pulmonary care and other specialties

The company hopes to expand the use of its AI platform, primarily used to treat stroke patients, so that it can make a bigger impact on patient care. 

AI may help liberate parenting from ‘technoference’

A new survey of around 300 youngish parents has found almost two-thirds worried they’re spending so much time distracted by electronic devices that their children’s development may be at risk.

COVID-19 coronavirus

Of 300-plus imaging-based AI models for COVID-19 diagnosis, zero suitable for clinical use

Numerous publications have touted the use of AI to pinpoint the novel coronavirus on X-ray and CT scans, but U.K. experts aren't impressed.

AI enhances brain MRI scans to better classify Alzheimer’s disease

Last year alone, total healthcare costs spent on AD treatment exceeded $305 billion, making improved detection an important clinical goal.

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New MR imaging reveals quality sleep is fundamental to recovering from brain injuries

Oregon Health & Science University researchers say perivascular MRI may also be useful for diagnosing dementia and other neurological conditions.

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‘Less is more’: Retinal imaging tweaks boost resolution by 33%

National Eye Institute researchers say their enhanced method will help better diagnose and treat degenerative eye diseases.

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AI provides automated second-reader support, catching radiologist misses in chest CT reports

Underreporting of findings on CT exams is relatively common, but a deep learning algorithm showed “superior diagnostic performance” in spotting two particular concerns. 

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