The role of pain catastrophizing in modulating irritable bowel syndrome symptoms through brain-spinal cord integration
March 2026
Irritable bowel syndrome (IBS) is a prevalent disorder characterized by abnormal brain-gut interactions. Notable, psychosocial stressors have been consistently observed to increase susceptibility to...
Human knowledge-enhanced large language model agent for prediction of intestinal disease progression in patients with Crohn's disease: A multicenter retrospective study
March 2026
Effective tools for risk stratification of intestinal disease progression (IDP) in Crohn's disease (CD) patients remain limited. Electronic medical records (EMRs) contain detailed information describing...
Diagnostic accuracy of artificial intelligence models in ultrasound-based detection of abdominal trauma: A systematic review and meta-analysis
March 2026
Abdominal trauma detection via ultrasound, particularly through Focused Assessment with Sonography for Trauma (FAST), is a cornerstone of emergency medicine due to its portability, real-time imaging...
Carotid DECTA in patients with dental hardware: Impact of deep learning image reconstruction and metal artifact reduction
March 2026
To evaluate the effectiveness of deep learning image reconstruction (DLIR) with metal artifact reduction (MAR) (DLIR-MAR) for improving carotid dual-energy CT angiography (DECTA) in patients with dental...
Prompt engineering for healthcare: Methodologies and applications
March 2026
Prompt engineering is a critical technique in the field of natural language processing (NLP) that involves designing and optimizing the prompts used to input information into models, aiming to enhance...
The AI challenge: A turing test pilot study of attendings and residents in identifying AI-Generated content
March 2026
Generative Artificial Intelligence (AI) models have demonstrated strong potential in radiology report generation, but their clinical adoption depends on physician trust. In this pilot study, we conducted...
Cross-scale prediction of glioblastoma MGMT methylation status based on deep learning combined with magnetic resonance images and pathology images
March 2026
The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) promoter is a key predictive biomarker for chemotherapy response in glioblastoma (GBM). Current reliance on complex molecular...
Chest X-ray foundation models: A survey and future directions
March 2026
Recent years have seen an increase in the development of foundation models for chest X-ray (CXR) analysis. Such foundation models provide robust, generalizable feature extraction abilities and allow...
Quantum Artificial Intelligence: A Comprehensive Survey
Available online 13 February 2026
Quantum Artificial Intelligence (QAI) has emerged at the nexus of quantum computing and AI, promising to redefine computational frontiers. This survey critically synthesizes the state-of-the- art through...
Enhancing the Prognosis of Nasopharyngeal Carcinoma Using Intra- and Peritumoral Radiomics
Available online 5 February 2026
The peritumoral region may harbor prognostically relevant information. Radiomics enables extraction of subtle imaging features beyond visual assessment, potentially improving outcome prediction in nasopharyngeal...
Deep Learning Reconstruction Enhanced Myocardial Scar Detection on Late Gadolinium Enhancement MRI in Patients with Ventricular Arrhythmias
Available online 7 January 2026
To evaluate the impact of a deep learning reconstruction (DLRecon) algorithm on the image quality and scar quantification in cardiac magnetic resonance (CMR) late gadolinium enhancement (LGE) imaging...
MRI-based radiomics for assisting diagnosis, assessment, and treatment of brain metastases in lung cancer
December 2025
Brain metastases (BMs) are the most prevalent intracranial malignancies. Brain metastases from lung cancer (LC) are particularly common in clinical practice and are strongly associated with poor prognosis...
Application of imaging in pulmonary function assessment
December 2025
Pulmonary function test (PFT) is the most common and effective method for functional diagnosis and screening of respiratory diseases, but it is not suitable for all patients and the procedure is relatively...
2-[18F]FDG PET/CT identifies metabolic activity linked to myocardial deformation in hypertrophic cardiomyopathy
December 2025
Hypertrophic cardiomyopathy (HCM) is a highly heterogeneous disease, which makes prognostic assessment challenging. We aim to explore the relationship between myocardial metabolism, evaluated via 2-[18F]FDG...
S-RRG-Bench: Structured radiology report generation with fine-grained evaluation framework
December 2025
Radiology report generation (RRG) for diagnostic images, such as chest X-rays, plays a pivotal role in both clinical practice and AI. Traditional free-text reports suffer from redundancy and inconsistent...
Radiomic analysis to predict arrhythmias in athletes by echocardiography: Artificial intelligence vs. formal methods
December 2025
The diagnosis and management of premature ventricular beats (PVBs) in athletes remain challenging due to the potential for underlying cardiac pathology. While the electrocardiogram is essential for...
Frontal cortical gyrification mediates the association between hippocampal subfield microstructure and cognitive function in Parkinson's disease: A NODDI study highlighting olfactory dysfunction
December 2025
Olfactory dysfunction and cognitive impairment are common and often co-occurring non-motor symptoms in Parkinson's disease (PD). However, the neural mechanisms underlying their association remain unclear....
Transformer-based integration of radiomics and deep learning for differentiating lipid-poor adrenal adenomas from malignant tumors
December 2025
To evaluate the effectiveness of a Transformer model based on contrast-enhanced computed tomography (CECT) that integrates radiomics and deep learning features in differentiating adrenal lipid-poor...
Consistency-driven state-space model for incomplete multimodal MRI brain tumor segmentation
December 2025
Brain tumor segmentation based on multimodal magnetic resonance imaging (MRI) plays a crucial role in clinical diagnosis and treatment planning. However, the absence or unavailability of certain modalities...
Predicting efficacy of electroconvulsive therapy for adolescent major depressive disorder using a dual-branch graph attention network fusing multi-modal MRI
December 2025
Major Depressive Disorder (MDD) significantly contributes to global disease burden, and Electroconvulsive Therapy (ECT) is an effective yet variable treatment. This study aims to develop an individualized...
X-ray Classification and Treatment of Hypotrophic Distraction Osteogenesis in Tibial Bone Transport
Available online 31 December 2025
This study aims to investigate the X-ray manifestations of hypotrophic new bone formation in tibial bone transport, propose a classification system, and establish standard treatment protocols....
An umbrella review of the efficacy of different physical therapy modalities for post-traumatic stress disorder (PTSD)
Available online 30 December 2025
This study’s aim was to assess the efficacy of different physiotherapy modalities for the treatment of post-traumatic stress disorder using an umbrella review. As of June 2024, we have published evidence...
Potential neural mechanisms and imaging changes in type 2 diabetes with cognitive impairment
September 2025
Many studies have demonstrated that type 2 diabetes mellitus (T2DM) can lead to various complications. In this review, we examine the central nervous system (CNS) symptoms it causes, focusing on cognitive...
Advances in neuroimaging applications of quantitative susceptibility mapping
September 2025
This review article delves into the advancements of quantitative susceptibility mapping (QSM) in neuroimaging, highlighting its utility in detecting and quantifying magnetic susceptibility differences...
Critical review of patient outcome study in head and neck cancer radiotherapy
September 2025
In modern radiation therapy for head and neck cancers, the treatment related toxicities remain a significant clinical challenge. This review critically evaluates the evolution of data-driven approaches...