Recent Articles

Open access

ISSN: 2950-1628

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...

A noval neuro-biomarker of cognitive impairment related to cerebral small vessel disease in patients with T2DM: Lenticulostriate arteries

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

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

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

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,...

A systematic evaluation of GPT-4V's multimodal capability for chest X-ray image analysis

This work evaluates GPT-4V's multimodal capability for medical image analysis, focusing on three representative tasks radiology report generation, medical visual question answering, and medical visual...

Potential of multimodal large language models for data mining of medical images and free-text reports

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

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

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

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

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

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...

Unbiasing fairness evaluation of radiology AI model

Fairness of artificial intelligence and machine learning models, often caused by imbalanced datasets, has long been a concern. While many efforts aim to minimize model bias, this study suggests that...

Myocardial viability under various ischemic burdens in chronic total occlusions: A stress-cardiac magnetic resonance study

This study aimed to analyze each myocardial segment's ischemic burden, scarring, function, and viability by late gadolinium enhancement (LGE) imaging and stress-MRI using adenosine....

Allen Human Brain Atlas and magnetic resonance imaging in schizophrenia

Schizophrenia is among top disability causes worldwide; however, its pathological mechanism is still unclear. In order to advance the research progress on schizophrenia, the Schizophrenia Imaging Lab...

Radiomics model of CTE can detect inflammatory activity in intestinal Crohn's disease

To investigate the diagnostic value of a computed tomography enterography (CTE)-based radiomics model (RM) in the detection of active inflamXGmation in patients with intestinal Crohn's disease (CD)...

7T MRI in cerebrovascular disorders: From large artery abnormalities to small vessel disease

There is a growing interest and adoption of 7 Tesla (T) magnetic resonance imaging (MRI) in the field of medicine and research. In the domain of neuroimaging, 7T MRI shows notable advantages over lower...

Thoracic CT imaging in obesity: Technical challenges, imaging findings and future outlook

Obesity is a highly prevalent and increasing global medical problem. It is expected that most radiologists will come across computed tomography studies of obese patients in their daily work. Obesity...

Evaluation of cerebellar aging in MRI images: Fractal analysis compared to Euclidean geometry-based morphometry

This study aimed to identify age-related changes in the fractal dimensions of the cerebellum and compare the sensitivity of fractal analysis and conventional Euclidean geometry-based morphometry to...

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