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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German tech firm that provides AI-powered second reads on mammograms raises $7M

Vara recently announced the new capital contribution, with the venture investment arm of the Ontario Municipal Employees Retirement System pitching in the largest share.

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Not going unnoticed: Mayo Clinic’s interest in tapping patient data to advance medical AI

Healthcare AI companies of all sizes need patient data to design their products and make their fortunes. Big healthcare providers have the data and need the tech partners to help advance modern medicine.

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Machine learning predicts potential complications in CT-guided thoracic biopsies

With such a model, clinicians can implement preemptive measures for higher risk patients, experts wrote in Academic Radiology.

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New optical tomography microscope bolsters the power of 3D imaging

Colorado State University and the University of Illinois at Urbana-Champaign teamed up to develop the harmonic optical tomography approach.

3 ways AI is accelerating the fight against COVID

AI companies serving healthcare markets have been fast to tailor their work to the COVID-19 crisis. An opinion piece published by the World Economic Forum offers a sampling.

Algorithms to help Hospital Sisters cut wasteful use of surgical services

The Midwestern Catholic health system Hospital Sisters is working with an AI startup to block overutilization of surgical services.

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Neurological symptoms present in patients with COVID-19

Altered mental state and stroke were the most common findings, which may help physicians better understand how the disease impacts the central nervous system.

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Brain imaging pinpoints weaker ‘neural suppression’ in patients with autism

The findings published Friday may help researchers develop new screening mechanisms to identify children who are at risk for the disorder and similar conditions.