
The accurate diagnosis of otitis media (OM) has long been a challenge for clinicians (especially for less experienced clinicians) due to the variety of types and the complex anatomical structures of the middle ear. Although deep learning (DL) based on different examination methods (mostly otoscopy) has...

Failed back surgery syndrome (FBSS), defined as persistent or recurrent back pain after spine stabilization surgery (SSS), presents substantial diagnostic and therapeutic challenges with significant healthcare and socioeconomic burden. Anatomical imaging modalities often yield inconclusive findings....

Computed tomography (CT) is favored for diagnosing lumbar spondylolysis owing to its high resolution, rapid scanning, and cost-effectiveness. Nonetheless, the high levels of radiation exposure associated with it limit its use, especially in younger populations. To mitigate these concerns, deep learning...

The aim was to compare the image quality of photon-counting detector CT (PCD-CT) and energy-integrating detector CT (EID-CT) in patients with tibial plateau fractures treated with metallic osteosynthesis material, and to identify optimal reconstruction parameters for PCD-CT. Materials and methods: After...

Electron density (ED) maps derived from spectral computed tomography (CT) offer superior accuracy-particularly in critical regions such as bone, metal implants, and areas with contrast agents-but their clinical adoption is limited by high equipment costs. This study aims to bridge this gap by developing...