This study investigates the application of a deep learning model, YOLOv8-Seg, for the automated classification of osteoporotic vertebral fractures (OVFs) from computed tomography (CT) images. A ...

In February 2024, a shipwreck off Tobago caused a significant surface oil spill, highlighting the need for accurate modeling tools to support emergency response. This study applies the OpenOil module ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score This ...

Journal of Nuclear Medicine June 2024, jnumed.124.267434; DOI: https://doi.org/10.2967/jnumed.124.267434 These aggregative approaches raise an interesting question ...

Early identification of large vessel occlusion (LVO) in patients with ischemic stroke is crucial for timely interventions. We propose a machine learning–based algorithm (JLK-CTL) that uses handcrafted ...

Dataset import and preprocessing Automatic feature map generation 27-type feature catalogue for iterative (re)calculation to support model integration into optimization 7 customizable internal model ...

Improving the resolution of medical imaging systems and facial recognition algorithms has given rise to concerns about the identifiability of CT, MRI, and PET image data. In any imaging study ...

Copyright: © 2024 The Author(s). Published by Elsevier Ltd. The prognosis of lung carcinoma has changed since the discovery of molecular targets and their specific ...

Intracranial stereoelectroencephalography (SEEG) is broadly used in the presurgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high ...