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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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. 

chest pain lung pulmonary embolism

AI spots dozens of missed incidental pulmonary embolism diagnoses at one hospital

The investigation was retrospective, but Duke scientists believe their algorithm could potentially aid radiologists in spotting near-misses in their work.

Cardiologist’s AI software tracks the health of COVID-19 patients, updating every 2 seconds

“Vital sign measurements and labs can come too late, but early detection through predictive analytics has the power to improve patients’ outcomes, especially for catastrophic illnesses like COVID-19,” the software's creator said. 

Cardiologist-led AI startup launches, secures $15M in funding

The company, Abridge, aims to help patients gain a better understanding of their own healthcare. 

is ai the key to getting a handle on data

Is AI the Key to Getting a Handle on Data?

More data might sound like a good thing but, from a clinician’s point of view, too much of it could defeat the purpose of gathering it.

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‘Selfies’ that save lives: AI detects heart disease using photographs

The AI algorithm was trained using photographs of more than 5,000 patients. 

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Smartphone cameras use AI to detect diabetes

It has been estimated that more than 200 million people around the world have diabetes and don’t know it. Could AI technology and smartphone cameras help reverse that trend?

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From heart pumps to hospitals: FDA approves Abiomed’s plan to stream data, empower AI models

The approval means Abiomed can stream patient data from its Impella heart pumps to remote monitoring platforms installed at more than 200 hospitals.

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Around the web

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.