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Related Concept Videos

Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

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 the...
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
Respiratory System Abnormal Finding I: Inspection and Percussion01:30

Respiratory System Abnormal Finding I: Inspection and Percussion

Respiratory system abnormalities are a significant concern in healthcare due to their potential to indicate underlying severe conditions like Chronic Obstructive Pulmonary Disease (COPD), asthma, and pneumonia. These abnormalities can often be detected through physical examination methods like inspection and percussion.
Inspection Findings
During an inspection, several findings may suggest the presence of respiratory distress or disease. Pursed-lip breathing, where exhalation is slowed by...
Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
Assessment of Respiration01:23

Assessment of Respiration

The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like asthma or COPD,...
Pneumothorax-II01:27

Pneumothorax-II

Pneumothorax is a medical condition defined by the buildup of air in the pleural space between the lungs and the chest wall. This accumulation of air can lead to partial or complete lung collapse, resulting in a range of clinical manifestations. Understanding the clinical presentation and effective management strategies is crucial for healthcare professionals in providing timely and appropriate care to individuals with pneumothorax.
Clinical Manifestations:

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Related Experiment Video

Updated: Jun 18, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

AI Solution for Identifying Actionable Abnormalities on Chest Radiographs: A Retrospective Case-Control Study.

Moon Young Kim, Jin Young Yoo, Yun Hee Jang

    Journal of the Korean Society of Radiology
    |June 17, 2026
    PubMed
    Summary
    This summary is machine-generated.

    A commercial artificial intelligence (AI) solution shows diagnostic performance comparable to thoracic radiologists in detecting actionable abnormalities on chest radiographs. The AI achieved a high detection yield, assisting in identifying critical findings when false positives are managed.

    Keywords:
    ActionableArtificial IntelligenceChest RadiographReportScreening

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    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

    Published on: December 19, 2020

    Related Experiment Videos

    Last Updated: Jun 18, 2026

    Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
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    Published on: August 28, 2018

    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
    08:05

    Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

    Published on: December 19, 2020

    Area of Science:

    • Radiology and Medical Imaging
    • Artificial Intelligence in Healthcare
    • Diagnostic Performance Evaluation

    Background:

    • Chest radiographs (CRs) are crucial for diagnosing thoracic abnormalities.
    • Actionable abnormalities (AAs) require timely clinical attention.
    • Evaluating AI diagnostic tools against human experts is essential.

    Purpose of the Study:

    • To assess the diagnostic accuracy of a commercial AI solution for detecting AAs on CRs.
    • To compare the AI's performance against that of experienced thoracic radiologists.
    • To determine the AI's potential role in improving diagnostic workflows.

    Main Methods:

    • Retrospective analysis of 194 AAs and 388 normal CRs from 2016-2021.
    • Application of a commercial AI solution for thoracic abnormality detection.
    • Independent review by three thoracic radiologists; comparison of diagnostic metrics.

    Main Results:

    • AI achieved high performance: AUC 0.958, sensitivity 90.7%, specificity 91.2%.
    • AI demonstrated superior sensitivity and F1 score compared to radiologists.
    • AI yielded the highest detection rate (30.2%) with substantial agreement (κ=0.704) with radiologists.

    Conclusions:

    • The AI solution exhibits diagnostic performance on par with thoracic radiologists.
    • AI may serve as a valuable tool for detecting AAs, provided false-positive alerts are managed.
    • AI has the potential to enhance the detection of critical findings in chest radiography.