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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.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.
