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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AI classifies colorectal cancer pathology samples within 30 minutes

Typically, distinguishing between tumor types involves immunohistochemical sample staining and complex genetic analysis, often a day-long process.

Taiwanese artificial intelligence startup offering faster brain CT reads raises $2.7M

Deep01 said the lion’s share of the contribution comes by way of electronics manufacturer Asus, with other Taiwan-based firms such as BE Capital also contributing. 

knee x-ray

AI model ‘cuts out the middleman’ to predict knee replacement risk from radiographs

An automated system to predict knee replacement surgery risk is critical, given that more than half of the estimated 14 million Americans suffering from knee osteoarthritis will undergo the procedure.

AI integrates with drones, smartphones to help 5G along

Engineers have combined two emerging technologies—worker drones and task-oriented AI—to accelerate the adoption of a third: 5G mobile networks.

Michal Meiri

Israeli startup that uses AI to declutter radiology reports raises $3M in new funding

London investment firm MMC Ventures is pitching in the largest share of capital, with additional contributions from Bayer, Seedcamp and InHealth Ventures, Agamon announced Monday. 

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Measuring 4D flow MRI during exercise offers benefits over stress echo

The approach accurately quantified flow in the ascending aorta and main pulmonary artery and was “highly” repeatable, experts wrote in a pilot study published recently.

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Model predicts 10,000 excess US deaths due to cancer screening delays: ‘We’re very worried’

The National Cancer Institute model only accounts for colon and breast cancer screenings and represents a roughly 1% increase over pre-COVID-19 estimates. 

US Air Force rolls out explainable AI to help fight COVID

A federal research arm whose normal work involves developing aerospace warfighting technologies is turning its talents to deploying explainable AI in the war against COVID-19.