Recent Articles

Open access

ISSN: 2950-1628

Potential neural mechanisms and imaging changes in type 2 diabetes with cognitive impairment

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

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

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...

Investigating the shared genetic architecture between Parkinson's disease and magnetic susceptibility of the substantia nigra

Parkinson's disease (PD) is a common and progressively deteriorating neurodegenerative disorder thatprofoundly affects millions of individuals worldwide. Neuroimaging research has consistently demonstrated...

Fast-RF-Shimming: Accelerate RF shimming in 7T MRI using deep learning

Ultrahigh field (UHF) Magnetic Resonance Imaging (MRI) offers an elevated signal-to-noise ratio (SNR), enabling exceptionally high spatial resolution that benefits both clinical diagnostics and advanced...

Cardiac ECV mapping: Underlying concepts and clinical applications

Myocardial Extracellular volume fraction (ECV) mapping, based on cardiac magnetic resonance (CMR), is a crucial technique for assessing myocardial histological changes by evaluating extracellular matrix...

Dopamine receptor- and noradrenaline transporter-related disruptions are associated with depression and cognitive performance in COVID-19 survivors

This study aims to explore the relationships between neural activity, neurovascular coupling (NVC), and neurotransmitter receptors, and to investigate their association with emotion and cognition in...

Intelligent analysis of chest X-ray based on multi-modal instruction tuning

Chest X-ray plays a crucial role in the screening and diagnosis of chest diseases. Due to the complexity of pathological manifestations and limitations of radiologists' experience, the accuracy and...

Radiomic Analysis to predict Arrhythmias in Athletes by Echocardiography: Artificial Intelligence vs. Formal Methods

The diagnosis and management of premature ventricular beats (PVB) in athletes remains a challenge for clinicians due to the potential for underlying, asymp- tomatic cardiac conditions. While electrocardiogram...

S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework

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...

2-[18F]FDG PET/CT identifies metabolic activity linked to myocardial deformation in hypertrophic cardiomyopathy

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...

Application of imaging in pulmonary function assessment

Pulmonary function test is the most commonly used and effective method for functional diagnosis and screening of respiratory diseases, but it is not suitable for all patients and the process is relatively...

MRI-based radiomics for assisting diagnosis, assessment, and treatment of brain metastases in lung cancer

Brain metastases (BMs) represent the most prevalent intracranial malignancies. Lung cancer (LC) BMs are particularly common in clinical practice and are closely associated with poor prognosis and high...

Applications of resting-state fMRI and machine learning in cognitive impairment in type 2 diabetes mellitus: A scoping review

Type 2 Diabetes Mellitus (T2DM) is a common metabolic disorder that adversely affects cognitive function and heightens the risk of neurodegenerative diseases. This review examines cutting-edge developments...

Application of deep learning on automated breast ultrasound: Current developments, challenges, and opportunities

Breast cancer is a major disease threatening the health of women worldwide. The advent of automated breast ultrasound (ABUS) has provided new possibilities for the early screening and diagnosis of breast...

MRI advances on structural and functional changes in limbic system with premenstrual syndrome

Premenstrual Syndrome (PMS) is a unique emotional disorder in women, characterized by a series of cyclical physical, emotional, behavioral, and cognitive symptoms that occur during the luteal phase...

Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor

In this study, we use large language models (LLMs) to integrate information from multi-source medical reports to enhance the accuracy of automated diagnostic classification and prognosis for brain ...

Multi-task glioma segmentation and IDH mutation and 1p19q codeletion classification via a deep learning model on multimodal MRI

To develop a deep learning model for simultaneous segmentation of glioma lesions and classification of IDH mutation and 1p/19q codeletion status using multimodal MRI....

Reference ranges of CT quantitative indexes based on paired inspiratory and expiratory chest CT in healthy Chinese adults: A community-based cohort study

Computed tomography (CT) screening has established itself as the routine method to monitor lung conditions by providing pulmonary structural and functional information. However, the reference ranges...

Radiology-GPT: A large language model for radiology

We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstrates superior performance...

The role of 4D flow MRI in deep vein thrombosis research

Four-dimensional (4D) flow Magnetic Resonance Imaging (MRI) technology has emerged as a valuable tool in angiography, offering unique insights into the hemodynamics and flow patterns. This research...

One scan, multiple insights: A review of AI-Driven biomarker imaging and composite measure detection in lung cancer screening

In an era where early detection of diseases is paramount, integrating artificial intelligence (AI) into routine lung cancer screening offers a groundbreaking approach to simultaneously uncover multiple...

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