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. 

2 AI algorithms designed to flag acute conditions gain CE mark

Zebra Medical Vision, a Shefayim, Israel-based medical imaging analytics company, announced that it has received CE certification for two AI-based algorithms aimed at improving care in the emergency department (ED).

February 28, 2019
Quantitative imaging and lung cancer

AI solution for pulmonary embolism workflow receives CE certification

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced that its AI-based solution for improving pulmonary embolism (PE) workflow has received CE certification.

February 28, 2019

AI can help patients with high-risk breast lesions avoid unnecessary surgery

Researchers have developed new AI models that can predict when atypical ductal hyperplasia (ADH) breast lesions will be cancerous, publishing their findings in JCO Clinical Cancer Informatics.

February 27, 2019
Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

Will AI provide true value to women’s imaging? That depends …

Artificial intelligence (AI) could be a true game-changer for medical image interpretation, especially women’s imaging. But nothing is guaranteed.

February 22, 2019

RANZCR releases draft guidelines on appropriate use of AI in healthcare

The Royal Australian and New Zealand College of Radiologists (RANZCR) announced Thursday, Feb. 21, that it has published a draft of its guidelines for the appropriate use of AI and machine learning (ML) in healthcare.

February 21, 2019

AI predicts ovarian cancer survival rates from CT scans

AI can predict a woman’s survival rate and response to treatments for ovarian cancer more accurately than current methods, according to research published online Feb. 15 in Nature Communications. 

February 15, 2019

IBM Watson Health announces $50M investment in advancing AI in healthcare

IBM Watson Health has announced a new 10-year, $50 million investment in joint research collaboration projects with Brigham and Women’s Hospital in Boston and Vanderbilt University Medical Center (VUMC) to advance the application of artificial intelligence (AI) in public health.

February 14, 2019
As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Zebra Medical Vision receives 3 grants to implement AI solutions throughout Israel

Zebra Medical Vision announced it has received grants from the Israel Innovation Authority to implement its AI algorithms in three of Israel's largest medical institutions.

February 14, 2019

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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