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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Clinical, IT leaders plan to boost spending on AI, other technologies

Look for AI, 5G and big data analytics to lead all other emerging technologies in reshaping U.S. healthcare over the next several years.

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Deep learning detects precancerous changes on mammograms

What’s more, the model proved beneficial in a large, diverse cohort that included women with benign breast disease and BRCA mutations.

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AI boosts value of CT lung cancer screening by helping predict death from other diseases

Experts see great promise for improving population health outcomes with such opportunistic screening via low-dose CT, according to a study published in Radiology

Video of Maddie Jankowski explaining sonographer highlights and trends at the American Society of Echo (ASE) 2023 meeting.

The rise of AI and other key takeaways for sonographers at ASE 2023

Cardiac sonographer Maddie Jankowski, BS, ACS, RDCS, joined us to explore key trends and updates for sonographers from ASE 2023 in National Harbor, Maryland. 

Nanox raises $30M; ViewRay begins pulling stock from Nasdaq, plus more radiology vendor news

Also, MITA urges states to fix breast screening coverage gap, Philips announces Q2 earnings results, and Aidoc inks partnerships with two large health systems. 

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Industry Watcher’s Digest

Buzzworthy developments of the last few days.

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7 AI powerhouses make 8 commitments on model development

Seven of the most competitive tech companies have publicly pledged to follow some specific guidelines when advancing AI technologies.

#CTA #acuteischemicstroke #AIS #radiomics

Evidence supporting use of radiomics is 'insufficient' and 'weak,' according to new meta-analysis

Although the predictive power of radiomics has been touted as a tool that could improve patient outcomes, the method has a long way to go before it can be reliably introduced into real-world clinical environments.