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ISSN: 2950-1628

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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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....

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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...

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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...

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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...

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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...

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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...

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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,...

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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...

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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,...

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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...

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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...

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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...

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Radio-immunomics in hepatocellular carcinoma: Unraveling the tumor immune microenvironment

Hepatocellular carcinoma (HCC) ranks as the sixth most prevalent and the fourth most lethal malignancy worldwide, frequently manifesting at advanced stages with limited therapeutic options. Despite...

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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....

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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...

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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)...

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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...

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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...

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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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Opportunities and challenges in the application of large artificial intelligence models in radiology

Influenced by ChatGPT, artificial intelligence (AI) large models have witnessed a global upsurge in large model research and development. As people enjoy the convenience by this AI large model, more...

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The general intelligence of GPT–4, its knowledge diffusive and societal influences, and its governance

Recent breakthroughs in artificial intelligence (AI) research include advancements in natural language processing (NLP) achieved by large language models (LLMs), and; in particular, generative pre–trained...

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Review and prospects of new progress in intelligent imaging research on lymph node metastasis in esophageal carcinoma

Esophagus carcinoma (EC) ranks sixth in cancer-related mortality and seventh in terms of morbidity worldwide, and radical esophagectomy is considered as the basis of comprehensive treatment for locally...

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MCFCN: Multi-scale capsule-weighted fusion classification network for lung disease classification based on chest CT scans

This paper aims to propose a Multi-scale Capsule-weighted Fusion Classification Network (MCFCN), a classification model for automatic diagnosis of lung lesions by CT scanning....

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