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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Radiology department’s 3D-printed nasal swabs for COVID-19 produce ‘overwhelmingly’ positive results

The University of South Florida Health has since printed more than 100,000 swabs.

Healthcare AI startup lands $42M plus a partnership with Mayo

A healthcare startup whose AI-powered symptom checker lets users check symptoms against other patients’ experiences has begun a partnership with Mayo Clinic and raised a fresh $42 million to advance its telehealth platform.  

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Hypertension, diabetes common in COVID-19 patients with life-threatening brain complications

“While complications in the brain are rare, they are an increasingly reported and potentially devastating consequence of COVID-19 infection," imaging experts warned. 

Medtronic builds AI spinal surgery business with 7th acquisition of 2020

The medical device giant has purchased a French spinal surgery company that currently has more than 30 digital medicine products on the market in the U.S. and Europe.

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Major Northeast health system takes ‘huge step forward’ with Sectra’s digital pathology solution

MetroHealth will incorporate the digital slide module across its entire imaging enterprise.

Father-son team set to test their 3D color scanner in large trial investigating hand injuries

Next years’ research will build off of a successful study which found that the wrist scanner produced images on par with CT machines. 

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Deep learning gives stable inpatients a good night’s sleep

A new AI tool can accurately separate the patients who would do better getting restorative sleep till morning from those who, due to unstable condition, really need their vital signs checked overnight.

Radiology AI market projected to hit $2B by 2022: What imaging experts should know

RSNA tallied more than 170 self-identified image analysis companies at last year's annual meeting, with that figure only expected to grow.

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