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DL algorithm targeting prostate cancer demonstrates clinical impact

AuntMinnie

When radiologists interpretations are indeterminate, a commercially available deep learning algorithm could find clinically significant prostate cancer with improved specificity while maintaining sensitivity, suggested research published March 11 in Radiology. Per lesion, the algorithm demonstrated 80.3% sensitivity, compared with 93.2%

Clinic 230
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Minnies winners for 2023 highlight AI, innovation in radiology

AuntMinnie

Each year, the Minnies award winners reflect the current challenges, issues, and advances in radiology. And 2023 is no exception. The technology figured prominently in five Minnies categories, including Hottest Clinical Procedure. Workforce shortages were deemed by our Expert Panel to be the biggest threat in 2023.

Radiology 331
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Road to RSNA 2023: AI Preview

AuntMinnie

Welcome to the first installment of this year’s Road to RSNA preview of the RSNA 2023 meeting. AI’s capability and potential to enhance the practice of radiology will take center stage at RSNA 2023. For more information on those presentations and other abstracts, check out the RSNA 2023 meeting program. 9:40 a.m. |

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LLMs decrease in accuracy over time on radiology exams

AuntMinnie

Large language models (LLMs) demonstrate high accuracy on radiology exams, yet decrease in accuracy over time, according to research published November 20 in the European Journal of Radiology. Claude, and Google Bard have demonstrated near-expert-level performance on radiology exams, the authors noted.

Radiology 309
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Brain imaging, ChatGPT, and medicolegal topped 2023's most read list

AuntMinnie

While ChatGPT landed two spots in the top 10 most popular articles in 2023, what grabbed the attention of the radiology community the most varied along five other theme lines. filed papers to recoup millions from Radiology Partners, a large radiology practice in the U.S. Read more in the snapshots below. in 2022.

Imaging 262
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Metabolic MRI technique shows promise in Alzheimer’s patients

AuntMinnie

Deuterium metabolic imaging (DMI) was highly aligned with F-18 FDG-PET -- a cornerstone of dementia diagnostics -- in patients with Alzheimer's disease in a study published April 8 in Radiology. They compared the DMI results to clinical FDG-PET data from patient records. A graphical abstract of the study. Image courtesy of RSNA.

MRI 215
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New AI model successfully segments anatomic structures in MR images

AuntMinnie

A Swiss research team has developed and tested an AI model that automatically segments anatomic structures on MR images independent of sequence, according to a study published February 18 in Radiology. Automated systems can potentially reduce radiologist's workload, minimize human errors and provide more consistent and reproducible results."

Imaging 249