Cardiac ECV mapping: Underlying concepts and clinical applications
September 2025
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
September 2025
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
September 2025
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...
Applications of resting-state fMRI and machine learning in cognitive impairment in type 2 diabetes mellitus: A scoping review
June 2025
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
June 2025
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
June 2025
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
June 2025
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
June 2025
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
June 2025
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
June 2025
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
March 2025
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
March 2025
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...
A noval neuro-biomarker of cognitive impairment related to cerebral small vessel disease in patients with T2DM: Lenticulostriate arteries
March 2025
The lenticulostriate arteries (LSAs) are crucial cerebral microvasculature vessels, supplying blood to the basal ganglia and internal capsule. Diagnosing, recognizing, and treating cognitive impairment...
Rethinking the studies of diagnostic biomarkers for mental disorders
March 2025
For mental disorders, the identification of biomarkers with high specificity, sensitivity, and validity remains a major challenge due to their heterogeneity and symptomatic overlap across disorders....
Advancements in the application of deep learning for coronary artery calcification
March 2025
Coronary Artery Calcification (CAC) is a characteristic pathological alteration in the progression of coronary atherosclerosis and is considered an independent predictor of Major Adverse Cardiovascular...
Microstructure changes of the brain preceded glymphatic function changes in young obesity with and without food addiction
March 2025
Obesity in young adults has become a public health issue that cannot be ignored. Previous studies have shown that obesity, emotional stress and food addiction can interact with each other. However,...
Potential of multimodal large language models for data mining of medical images and free-text reports
December 2024
Medical images and radiology reports are essential for physicians to diagnose medical conditions. However, the vast diversity and cross-source heterogeneity inherent in these data have posed significant...
Cardiovascular medical image and analysis based on 3D vision: A comprehensive survey
December 2024
With the rapid development of 3D vision and computer graphics technology, the way humans interact with the world has undergone significant transformations. 3D vision-related technologies have profoundly...
Developmental trends in corpus callosum thickness among preschool children
December 2024
The corpus callosum plays a crucial role in integrated brain functions, and its development in childhood is strongly associated with subsequent cognitive, emotional, and behavioral development. However,...
Integrating AI in college education: Positive yet mixed experiences with ChatGPT
December 2024
The integration of artificial intelligence (AI) chatbots into higher education marks a shift towards a new generation of pedagogical tools, mirroring the arrival of milestones like the internet. With...
Artificial intelligence in CT diagnosis: Current status and future prospects for ear diseases
December 2024
The human ear, possessing complex structures like the ossicular chain, cochlea, and auditory nerve, plays a crucial role in hearing and balance. Common ear diseases, such as hearing loss, tinnitus,...
Research advances and applications of artificial intelligence in cardiac CT
December 2024
Coronary artery disease (CAD) remains the leading cause of morbidity and mortality globally. The recent years have witnessed a steep increase in the number of cardiac CT examinations, including coronary...