abstract

AI in Radiological Imaging of Soft-Tissue and Bone Tumours: A Systematic Review Evaluating Against CLAIM and FUTURE-AI Guidelines
Early health technology assessment for an artificial intelligence tool to detect incidental pulmonary embolisms on computed tomography
Evaluating IVIM and ADC Parameters to Differentiate Benign and Malignant Soft-Tissue Lesions
Multi-Center External Validation of an Automated Method Segmenting and Differentiating Atypical Lipomatous Tumors from Lipomas Using Radiomics and Deep-Learning on MRI
Predicting Failure of Active Surveillance in Desmoid-Type Fibromatosis Using Radiomics: An International Multi-Center Study
The liver artificial intelligence (LAI) consortium: a benchmark dataset and optimised machine learning methods for MRI-based diagnosis of solid-appearing liver lesions
The Liver Artificial Intelligence (LAI) Consortium: A Benchmark Dataset and Optimised Machine Learning Methods for MRI-based Diagnosis of Solid-appearing Liver Lesions
AI in Radiological Imaging of Soft-Tissue and Bone Tumours: A Systematic Review Evaluating Against CLAIM and FUTURE-AI Guidelines
AI in Radiological Imaging of Soft-Tissue and Bone Tumours: A Systematic Review Evaluating Against CLAIM and FUTURE-AI Guidelines
Automated segmentation of desmoplastic histopathological growth patterns of colorectal liver metastases on whole-slide images using deep learning