Machine Learning and Deep Neural Network Applications in the Thorax
Martine Rémy‐Jardin, Jean‐Baptiste Faivre, Rainer Kaergel, Antoine Hutt, Paul Felloni, Suonita Khung, Anne-Laure Lejeune, Jessica Giordano, Jacques Rémy
Abstract
The radiologic community is rapidly integrating a revolution that has not fully entered daily practice. It necessitates a close collaboration between computer scientists and radiologists to move from concepts to practical applications. This article reviews the current littérature on machine learning and deep neural network applications in the field of pulmonary embolism, chronic thromboembolic pulmonary hypertension, aorta, and chronic obstructive pulmonary disease.
Topics & Concepts
MedicinePulmonary embolismPulmonary diseaseDeep learningThorax (insect anatomy)Artificial neural networkRadiologyArtificial intelligenceIntensive care medicineSurgeryInternal medicineComputer scienceAnatomyVenous Thromboembolism Diagnosis and ManagementChronic Obstructive Pulmonary Disease (COPD) ResearchUltrasound in Clinical Applications