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RadiologyInfo.org introduces new series of patient-facing articles

AuntMinnie

RadiologyInfo.org , a source of medical imaging information for the general public, has introduced a new series of articles and videos to help patients understand their radiology exam reports. In the videos, radiologists share some common findings while displaying sample imaging exams.

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Generative AI, radiologist shortages feature in 2024 Minnies

AuntMinnie

We hope you enjoy our article as well as the opportunity to hear directly from the recipients. Importantly, we are gaining deeper insights into disease processes themselves, which enhances our ability to diagnose and potentially treat conditions that were previously beyond our reach."

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Automatic organ segmentation model available for testing with pediatric CTs

AuntMinnie

Researchers at Cincinnati Children's Hospital Medical Center (CCHMC) have developed and validated an abdominal organ segmentation model and made it available as an open-source application for further research and potential clinical deployment in pediatrics, according to an article published in the American Journal of Roentgenology on May 1.

Medical 304
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AI in radiology receives more positive coverage in U.S. news media

AuntMinnie

newspaper coverage, news articles over the past 25 years have discussed AI’s advantages more than potential risks. However, radiologists were “infrequently” interviewed or quoted in these articles. The findings were published July 20 in Clinical Imaging. “It Of the total articles included, 154 had radiology as the primary focus.

Radiology 229
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Can new image processing methods deliver reproducible radiomics?

AuntMinnie

and Alex Zwanenburg-Bezemer, PhD, of National Center for Tumor Diseases Dresden in Germany, and colleagues shared their results in an article published February 6 in Radiology. Before an AI algorithm can analyze a medical image, several processing steps need to be performed by software.

Imaging 278
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AI spots unidentified brain tumor on PET imaging

AuntMinnie

In brief, the deep learning-based AI model (called “JuST_BrainPET”) is designed to automatically segment metabolic tumor volume (MTV) from surrounding healthy tissue on brain PET imaging, a key step in medical imaging analysis, the researchers explained.

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Roadmap to Fair AI: Revealing Biases in AI Models for Medical Imaging

Imaging Technology

Medicine is no exception, with AI/ML being used for the diagnosis, prognosis, risk assessment, and treatment response assessment of various diseases. In particular, AI/ML models are finding increasing applications in the analysis of medical images. This includes X-ray , computed tomography , and magnetic resonance images.