AI: Page 39

Alpha Nodus updates Gravity AI program
By AuntMinnie.com staff writers
Austin, TX-based AI developer Alpha Nodus has updated its Gravity AI program for automating prior authorizations.
June 20, 2023
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Deep-learning model performs well with CEM images
By Amerigo Allegretto
A deep-learning model can accurately identify and describe suspicious lesions on contrast-enhanced mammography (CEM) images, according to research published June 20 in Radiology.
June 20, 2023
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CT radiomic features accurately identify COPD
By Kate Madden Yee
Radiomic features on CT such as parenchymal texture and lung and airway shape can help clinicians accurately identify chronic obstructive pulmonary disease (COPD), a study published June 20 in Radiology has found.
June 20, 2023
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Gradient closes on $2.8M in funding
By AuntMinnie.com staff writers
AI training data provider Gradient Health secured $2.8 million in a recent funding round, which it plans to use to continue development of its annotated medical imaging library.
June 19, 2023
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AI predicts mortality risk in pneumonia patients
By Will Morton
A deep-learning AI model based on chest x-rays can predict 30-day mortality in patients with community-acquired pneumonia, according to a recent study in the American Journal of Roentgenology.
June 19, 2023
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AI helps characterize breast microcalcifications
By Amerigo Allegretto
An AI model developed by a team of researchers from China can differentiate between benign and malignant breast microcalcifications, according to findings published June 18 in Fundamental Research.
June 19, 2023
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Expert highlights potential of open cloud datasets
By Will Morton
Sharing open datasets in the cloud for AI development can allow users to spend more time on data analysis rather than acquisition, according to a June 14 presentation delivered at the Society for Imaging Informatics in Medicine.
June 19, 2023
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Week in Review: SIIM 2023 | Ultrasound for breast cancer screening | LGBTQIA+ patients' imaging needs
By Kate Madden Yee
June 18, 2023
Video from SIIM 2023: Marc Kohli on validating AI
AUSTIN, TX - How can radiology practices trust the AI technology they want to implement? Marc Kohli, MD, of the University of California, San Francisco shared his perspectives on the validation and monitoring of AI at the annual meeting of the Society for Imaging Informatics in Medicine (SIIM).
June 15, 2023
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Video from SIIM 2023: SIIM Chair Tessa Cook recaps Day 1
AUSTIN, TX - We caught up with Society for Imaging Informatics in Medicine (SIIM) Chair Tessa Cook, MD, PhD, to get her thoughts on Day 1 at SIIM 2023 and the important issues and challenges for women in imaging informatics.
June 15, 2023
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SIIM: CT techs can facilitate clinically meaningful AI
By Erik L. Ridley
AUSTIN, TX - An AI-based workflow that involves CT technologists can significantly improve management of patients with an incidental pulmonary embolism, according to a June 15 presentation at the Society for Imaging Informatics in Medicine (SIIM).
June 15, 2023
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Video from SIIM 2023: There's more to generative AI than ChatGPT
AUSTIN, TX - ChatGPT may have captured the headlines, but there's a lot more to generative AI technology than large-language models, Woojin Kim, MD, explains at the annual meeting of the Society for Imaging Informatics in Medicine (SIIM).
June 15, 2023
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