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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RSNA, neuroradiologists assemble largest-ever set of brain hemorrhage CT images through AI challenge

The society recently announced this “unprecedented collaboration,” which was made possible by the help of 60 physician volunteers and a fellow imaging interest group. 

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Mayo Clinic lines up AI innovation partner to help fight COVID-19

A supplier of remote patient monitoring technology is working with the Mayo Clinic to speed up diagnosis of COVID-19 and predict its course in stricken patients using AI.

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Will medical imaging follow the (investor) money to in-office, AI-aided MRI?

The moment may be ripe for MRI scanners that could fit into clinicians’ offices and leverage AI for optimally efficient workflows, interpretations and treatment plans.

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Virtual training, simulated care exercises temporarily free for clinical learners

The educational technology company Ascend Learning is offering clinical simulations and virtual training modules free of charge through May 15.

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UPS to deliver CVS prescriptions by drone during pandemic, maybe longer

Residents of Florida’s largest retirement community are soon to receive their meds by unmanned aerial vehicles.

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Artificial intelligence analyzes CT scans to determine which COVID patients require ventilators

Case Western Reserve University said its new AI tool could make it easier to triage patients and deploy scarce resources during the pandemic. 

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Algorithm classifies sleep apnea—or recognizes its absence—from 3D headshots

A predictive algorithm has distinguished patients free of obstructive sleep apnea from those with three levels of the condition—mild, moderate and severe—with 91% accuracy. And it did so using only 3D photos of the subjects’ faces.

Researchers using AI to track cardiac health of coronavirus patients given hydroxychloroquine, azithromycin

Cardiologs has announced the beginning of a new clinical trial that will involve monitoring the cardiac health of COVID-19 patients being treated with hydroxychloroquine and azithromycin.