Artificial intelligence–powered imaging-based diagnostic tools for ageing and longevity See

Circulating plasma gelsolin and MRI-based radiomics as biomarkers of platinum resistance in epithelial ovarian cancer: building a multiparameteric prediction algorithm See

Impact of Generative AI-Enhanced Low-Dose Cone-Beam Computed Tomography on Diagnosis and Treatment Planning for Impacted Mandibular Third Molars See

Machine learning prediction of hepatic steatosis using body composition parameters: A {UK} {Biobank} {Study} See

Deep learning in breast cancer imaging: A decade of progress and future directions See

Intravenous metoprolol and diltiazem drug combination therapy for heart rate control in coronary CT angiograms See

The performance of large language models in dentomaxillofacial radiology: a systematic review See

Saturation‐Transfer‐Based MRI of the Brain in Multiple Sclerosis Patients at 3T See

Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data. See

Performance of a Vision-Language Model in Detecting Common Dental Conditions on Panoramic Radiographs Using Different Tooth Numbering Systems See

Deep Learning–Based Automated Imaging Classification of ADPKD See

Increased risk of recurrent stroke in patients with impaired kidney function: results of a pooled analysis of individual patient data from the MICON international collaboration See

Development of a nasopharyngeal carcinoma (NPC) tumor model platform for quantitative evaluation of 18F-fluorodeoxyglucose (FDG) on a micro positron emission tomography-magnetic resonance imaging (PET/MRI) system See

Radiological biometrics for patient identification using deep learning See

A review of clinical applications of chemical exchange saturation transfer (CEST) MRI in neurodegenerative diseases See

High-Quality CEST Mapping With Lorentzian-Model Informed Neural Representation See

Chemical exchange saturation transfer MRI for neurodegenerative diseases: An update on clinical and preclinical studies See

Illuminating the unseen: Advancing MRI domain generalization through causality See

Unlocking the potential: T1-weighed MRI as a powerful predictor of levodopa response in Parkinson’s disease See