Intelligence artificielle et téléradiologie en imagerie cardiaque en coupe
| Autor: | Adrien Pasteur-Rousseau, Jean-François Paul |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Modalities medicine.diagnostic_test business.industry Teleradiology Chest pain medicine.disease Coronary artery disease Global population Cardiac magnetic resonance imaging medicine Medical physics Known Coronary Artery Disease medicine.symptom Cardiology and Cardiovascular Medicine business Cardiac imaging |
| Zdroj: | Annales de Cardiologie et d'Angéiologie. 70:339-347 |
| ISSN: | 0003-3928 |
| DOI: | 10.1016/j.ancard.2021.08.001 |
| Popis: | Cardiac CT-Scan and cardiac magnetic resonance imaging (MRI) are two booming cardiac imaging modalities especially in chest pain screening for CT-Scan and in surveillance of patients with known coronary artery disease for MRI. Artificial Intelligence is already of great help in radiologic diagnosis and its use should widen in the next few years. Teleradiology allows remote interpretation of all radiology exams and should develop in cardiac imaging. Expert radiology diagnosis centers should develop gathering cardiologists and radiologists with great experience in the field of cardiac imaging interpretation. Peripheral acquisition radiology centers would be disseminated all across the country without a need for a local expert and would send their images to the expert center for interpretation. The expert center would be the middle of this spider web, sending back the report and the selected images to the peripheral center, allowing optimal care for all patients nationwide. Artificial Intelligence would be a major asset of these expert centers, improving through the years. This operating mode would allow the onset of systematic screening for coronary artery disease in the global population and the surveillance of known coronary artery disease treated patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect