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Top 5 MRI Content of 2023

Diagnostic Imaging

Catch up on the most well-read magnetic resonance imaging (MRI) articles from 2023.

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Exploring Ferumoxytol: A Frontier in MRI Contrast Agents

Imaging Technology

milla1cf Fri, 03/29/2024 - 08:01 March 29, 2024 — Magnetic resonance imaging ( MRI ) is a cornerstone in the landscape of medical diagnostics, celebrated for its non-ionizing and non-invasive nature.

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National Working Group Releases Landmark Ethical Guidance for New Portable MRI Brain Research

Imaging Technology

With the advent of highly portable magnetic resonance imaging (pMRI), the scanner will now come to them. Lead authors of the article are University of Minnesota Professors Francis Shen , JD, PhD, Susan Wolf , JD, and Frances Lawrenz , PhD.

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AI for prostate MRI: open datasets, available applications, and grand challenges

European Society of Radiology: AI

Key points Artificial intelligence shows promise for being applied to prostate cancer magnetic resonance imaging (MRI). Article: Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges Authors: Mohammed R. Open datasets for prostate MRI are limited.

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Tasks for AI in prostate MRI

European Society of Radiology: AI

Key points Artificial intelligence (AI) offers potential applications for various steps of prostate magnetic resonance imaging workflow. Article: Tasks for artificial intelligence in prostate MRI Authors: Mason J. Prospective multicenter studies are needed to determine impact of AI on improving radiologist performance.

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

Imaging Technology

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. A key requirement for the successful implementation of AI/ML models in medical imaging is ensuring their proper design, training, and usage.

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4 AI applications for prostate-focused MRI

AuntMinnie

Prostate MR quality At Weill Cornell Medical College in New York City, Heejong Kim, PhD; Daniel Margolis, MD; and colleagues have pointed out that the problem of high variability in MRI image quality hinders comparative research and multicenter clinical trials, which are especially important given the popularity of mpMRI.

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