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Related Concept Videos

Pneumothorax-II01:27

Pneumothorax-II

172
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:
172
Cardiopulmonary Resuscitation II: ACLS Airway Management01:22

Cardiopulmonary Resuscitation II: ACLS Airway Management

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Airway management is a key skill in emergency and critical care settings, as maintaining a clear airway is essential for adequate oxygenation and ventilation.Head Tilt-Chin Lift TechniqueThe head tilt-chin lift maneuver is an essential technique primarily used in patients without suspected cervical spine injuries. To perform this maneuver, one hand is placed on the patient’s forehead, and gentle pressure is applied backward to tilt the head. The fingertips of the other hand are positioned...
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Pneumothorax-I01:26

Pneumothorax-I

225
A pneumothorax is a condition where air builds up in the space between the lung and the chest wall, causing the lung to collapse. This condition arises when air enters the space between the parietal and visceral pleura, disrupting the negative pressure essential for lung inflation. This can lead to a partial or complete collapse of the lung.
Pneumothorax can be even further classified as spontaneous, traumatic, and tension pneumothorax.
225

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Can the generalizability issue of artificial intelligence be overcome? Pneumothorax detection algorithm.

Elvan Burak Verdi1, Muhammed Yılmaz2, Deniz Doğan Mülazimoğlu3

  • 1Department of Chest Diseases, Ankara University Faculty of Medicine, Ankara, Turkey.

Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research
|October 15, 2023
PubMed
Summary

External validation of an artificial intelligence (AI) model for pneumothorax detection improved its generalizability. This AI model demonstrated high accuracy, outperforming physicians in certain metrics after validation with a small dataset.

Keywords:
Artificial intelligencechest X-raychest radiographgeneralizabilitypneumothorax

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Medicine
  • Radiology

Background:

  • Generalizability of artificial intelligence (AI) models is a critical challenge in clinical applications.
  • AI models trained on data from a single institution may not perform well in different healthcare settings.
  • Developing robust AI for accurate pneumothorax detection is essential for timely patient management.

Purpose of the Study:

  • To enhance the generalizability of a deep learning-based pneumothorax detection algorithm (PDA-Alpha) through external validation.
  • To assess the impact of external validation using a small dataset on the performance of the AI model.
  • To compare the diagnostic performance of the validated AI model against human physicians.

Main Methods:

  • A deep learning algorithm (PDA-Alpha) was developed using chest radiographs from Ankara University Faculty of Medicine (AUFM).
  • External validation was performed by developing PDA-Beta using a small dataset from Health Sciences University (HSU).
  • Both PDA-Alpha and PDA-Beta were evaluated on a test dataset from HSU, and results were compared with physician performance.

Main Results:

  • PDA-Alpha and PDA-Beta achieved high areas under the curve (0.993 and 0.986, respectively).
  • External validation significantly improved the positive predictive value from 0.525 to 0.886 (p=0.041).
  • PDA-Beta demonstrated improved performance with fewer false positives compared to PDA-Alpha, outperforming physicians in sensitivity and specificity.

Conclusions:

  • External validation, even with a small dataset, can significantly enhance the generalizability and performance of AI models for pneumothorax detection.
  • The validated AI model shows promise for reliable and accurate pneumothorax diagnosis in diverse clinical settings.
  • Further research is needed to determine the optimal size of external validation datasets for AI model generalizability.