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The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Artificial intelligence has been a mainstay of the Radiological Society of North America (RSNA) annual meeting for nearly a decade. Each year brings new developments, reveals new capabilities and algorithms, and furthers the conversation about how these tools can help radiologists provide care.
This year, the conversation began to turn to what steps could come next for AI. Conversations about deployment, consolidation, and U.S. Food & Drug Administration clearance are now the norm as the technology becomes less of a novelty and more of a mainstay.
In this episode of The Reading Room, Diagnostic Imaging speaks with Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, about her reaction to what this year’s conference offered about these tools and what she sees on the horizon in 2021.
For additional RSNA coverage, click here.
Study Assesses Potential of Seven-Minute AI-Enhanced 3T MRI of the Shoulder
February 20th 2025Researchers found that the use of seven-minute threefold parallel imaging-accelerated deep learning 3T MRI had 89 percent sensitivity for supraspinatus-infraspinatus tendon tears and 93 percent sensitivity for superior labral tears.
Study Explores Impact of Insurance on Treatment and Referrals for Patients with Uterine Fibroids
February 19th 2025Women with uterine fibroids and Medicaid coverage are significantly more likely to be treated with uterine artery embolization than those with commercial insurance, according to newly published research.
Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS
February 17th 2025In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.
