The recent study “Artificial intelligence for TNM staging in NSCLC – a critical appraisal of segmentation utility in [¹⁸F]FDG PET/CT” provides a…
A recent study conducted by the University Hospital of Tübingen investigated the potential of deep learning reconstruction (DLR) in magnetic resonance…
In this multi-center collaboration, thoracic radiology experts developed and evaluated a software-assisted structured reporting (SR) framework for…
A retrospective study conducted at University Hospital Cologne compared two criteria for assessing therapeutic response to immunotherapy: iRECIST and…
The prospective study conducted by LMU Klinikum Munich investigates the treatment of localized prostate cancer using two techniques: vascular-targeted…
In this prospective study conducted by Heidelberg University Hospital, researchers investigated whether changes in radiomic features from…
This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…
Solid pseudopapillary neoplasms (SPNs), or Frantz tumors, are rare pancreatic tumors accounting for 2-3% of all pancreatic neoplasms. These tumors…
Recent advancements in MRI techniques and tumor biology have led to updated hepatocellular carcinoma (HCC) diagnostic guidelines from various liver…
Deep learning (DL) has become an important part of radiological image analysis. To train these deep-learning models, access to large and diverse…