Radiology

KIF23 in disease pathogenesis and its therapeutic and diagnostic potential.

BACKGROUND: Kinesin family member 23 (KIF23) is a microtubule-dependent motor protein essential for cytokinesis, organelle transport, and signaling pathway regulation. Its dysregulation contributes to both tumorigenesis and non-malignant disorders; however, a comprehensive review integrating recent mechanistic and translational insights is currently lacking. METHODS: A literature search across Pub...

Advances in root phenotyping: high-throughput imaging, computational tools and integrative approaches for crop improvement.

Climate change increasingly threatens global agriculture by intensifying abiotic stresses and destabilizing crop productivity, necessitating a deeper understanding of root-mediated traits governing resource acquisition and stress resilience. Here, we synthesize recent advances in root-centered plant phenomics, emphasizing how high-throughput phenotyping (HTP) enables high-resolution, scalable char...

MRIgRT real-time target tracking: TrackRAD2025 challenge report.

Magnetic resonance imaging (MRI)-guided radiotherapy (MRIgRT) integrates MRI with linear accelerators (MRI-linacs), enabling real-time motion manageme...

High-fidelity three-dimensional reconstruction of musculoskeletal tissues via diffusion based ultrasonic computed tomography.

Compared with computed tomography (CT) and magnetic resonance imaging (MRI), traditional ultrasound imaging suffers from limited spatial resolution, p...

Deep learning in the diagnosis, staging, and prognosis of osteonecrosis of the femoral head: a systematic review.

BACKGROUND: Osteonecrosis of the femoral head (ONFH) is a progressive ischemic bone disorder that often leads to structural collapse and early arthrop...

Cost-effectiveness of artificial intelligence interventions for musculoskeletal disorders of the spine: a systematic review.

Musculoskeletal disorders (MSDs) represent a substantial global health burden, and artificial intelligence (AI)-based technologies are emerging as pot...

Multiparametric functional MRI for early detection of renal impairment: clinical applications and future directions.

Early identification of renal impairment is critical for improving patient outcomes. Most current biochemical markers of renal function are not sensit...

Diagnostic value of machine-learning using conventional magnetic resonance imaging markers for pediatric idiopathic intracranial hypertension: a retrospective study.

BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic resonance imaging (MRI) signs are considered suppo...

An interpretable 1⁸F-PSMA PET/CT-MRI model for optimizing prostate biopsy decisions.

PURPOSE: Distinguishing indolent from clinically significant prostate cancer (csPCa) in biopsy-naïve men remains a diagnostic challenge, often leading...

Habitat-informed MRI Radiomics and Deep Learning Fusion for Short-Term Survival Prediction in Patients with Glioblastoma: Exploratory Radiogenomic and Immune Correlates.

RATIONALE AND OBJECTIVES: To develop and externally validate a preoperative multicontrast MRI stacking model integrating unsupervised habitat radiomic...

Automated measurement of the minimum macular hole diameter based on optical coherence tomography images.

BACKGROUND: Accurate measurement of minimum macular hole (MH) diameter is essential for diagnosis and treatment. The manual measurement approach by op...

Cerebrospinal fluid volume outperforms traditional measures for predicting treatment failure in infant hydrocephalus.

BACKGROUND: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) offers an alternative to shunt placement for infant hydroceph...

Application Value of a nomogram integrating contrast-enhanced CT radiomics and clinical indicators in evaluating lymph node metastasis in pediatric peripheral neuroblastoma.

OBJECTIVE: To construct a machine learning model using contrast-enhanced CT radiomics and clinical indicators, aiming to improve the diagnostic accura...

Unraveling the molecular landscape of chronic radiation injury: From oxidative stress signaling to translational modeling (Review).

The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the ...

Radiological staging clinical decision support model for rectal cancer lymph node metastasis detection on MRI.

BACKGROUND: Accurate staging of lymph node metastasis (LNM) is crucial for personalising rectal cancer treatment. Lymph nodes (LNs) are the most commo...

Diagnostic Performance and Agreement Between Dental Students and an Artificial Intelligence System in Panoramic Radiographs.

OBJECTIVES: This study aimed to compare the diagnostic behaviour and detection patterns of fourth- and fifth-year dental students with those of an art...

Recent Advances in Imaging of Demyelinating and Dysmyelinating White Matter Lesions.

White matter diseases encompass a heterogeneous spectrum of central nervous system disorders, with neuroimaging serving a pivotal role in their diagno...

Denoising Preclinical MRI with Vendor-neutral Deep Learning-based Image Reconstruction.

BACKGROUND: Deep learning-based image reconstruction (DLR) is a widely adopted technology in clinical settings, and recently, the development of vendo...

Gated edge-node interaction graph convolutional network for ADHD classification.

Objective.Attention deficit hyperactivity disorder (ADHD) remains challenging to diagnose objectively and often relies on subjective clinical assessme...

AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases.

Systemic vascular and neurodegenerative disorders are important causes of disability and death worldwide, mainly because of the late stage of diagnosi...