6 months ago
A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients11 months ago
Machine learning based on clinical characteristics and chest CT quantitative measurements for prediction of adverse clinical outcomes in hospitalized patients with COVID-1912 months ago
Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison2 years ago
Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography2 years ago
Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study2 years ago
2 years ago
Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal Iymph node dissection2 years ago
Dual-energy CT–based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer2 years ago
Welcome to the blog on Artificial Intelligence of the European Society of Radiology
This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.
Most used hashtags
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- Can machine learning predict the WHO/ISUP nuclear grade of clear cell renal cell carcinomas?
- AIX returns to ECR 2022
- Radiomics in the prediction of disease-free survival in early-stage squamous cervical cancer