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Radiological Investigation I: X-ray and CT01:30

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Related Experiment Video

Updated: Jul 5, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

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Published on: April 12, 2024

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RoMIA: a framework for creating Robust Medical Imaging AI models for chest radiographs.

Aditi Anand1, Sarada Krithivasan1, Kaushik Roy1

  • 1School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.

Frontiers in Radiology
|January 23, 2024
PubMed
Summary

We developed RoMIA, a framework to enhance the robustness of Artificial Intelligence (AI) models in medical imaging. RoMIA improves diagnostic accuracy by reducing misclassifications caused by noisy or varied input data.

Failed At:

2026-06-19T13:40:36.053158+00:00

Keywords:
artificial intelligenceartificial neural networkschest radiographsmedical imagingradiologyrobustness

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