Deep learning-based artificial intelligence for assisting diagnosis, assessment and treatment in soft tissue sarcomas
June 2024
Soft tissue sarcomas (STSs) represent a group of heterogeneous mesenchymal tumors of which are generally classified as per the histopathology. Despite being rare in incidence and prevalence, STSs are...
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MCFCN: Multi-scale capsule-weighted fusion classification network for lung disease classification based on chest CT scans
June 2024
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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Ferroptosis, M6A and immune checkpoint-related gene expression in the middle temporal gyrus of the Alzheimer's disease brain
March 2024
Alzheimer's disease (AD) is a common genetically related cognitive disorder. Studies have shown that ferroptosis, N⁶-Methyladenosine (M6A) and immune checkpoint are related to the development of AD....
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Metabolite changes and impact factors in mild traumatic brain injury patients: A review on magnetic resonance spectroscopy
March 2024
The high incidence of mild traumatic brain injury (mTBI) and the associated post-concussion symptoms, such as headache and cognitive deficits, have captured the significant attention from researchers...
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A review of dose prediction methods for tumor radiation therapy
March 2024
Radiation therapy (RT) is currently the main clinical treatment of tumors. Before treatment initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is essential....
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Lung cancer screening, diagnosis, and treatment: The radiologist's perspective
March 2024
The epidemiological of lung cancer surgery patients is changing, resulting in changes in diagnosis and treatment. Changing the way and content of imaging reports in response to the above changes is...
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Defining a radiomics feature selection method for predicting response to transarterial chemoembolization in hepatocellular carcinoma patients
March 2024
To assess the utility of different radiomics feature selection methods in predicting transarterial chemoembolization (TACE) response in hepatocellular carcinoma (HCC) patients....
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Magnetic resonance-guided focused ultrasound in intracranial diseases: Clinical applications and future directions
March 2024
Magnetic resonance-guided focused ultrasound (MRgFUS) is a non-invasive technique for neuroregulation that offers several advantages, including non-invasiveness, no need for general anesthesia requirement,...
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Research and application progress of radiomics in neurodegenerative diseases
March 2024
Neurodegenerative diseases refer to degenerative diseases of the nervous system caused by neuronal degeneration and apoptosis. Usually, the onset of the disease is insidious, and the progression is...
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The general intelligence of GPT–4, its knowledge diffusive and societal influences, and its governance
Available online 28 March 2024
Recent breakthroughs in artificial intelligence (AI) research include advancements in natural language processing (NLP) achieved by large language models (LLMs), and; in particu- lar, generative pre–trained...
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Radiological and clinical evaluation of triple combination modulating therapy effectiveness in adult patients with cystic fibrosis
November 2023
Previous studies showed the clinical effectiveness of elexacaftor-tezacaftor-ivacaftor (ETI) in cystic fibrosis (CF) patients and a recently published study evaluated twelve CF patients that performed...
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Gray matter volume abnormalities in vascular cognitive impairment and their association with gene expression profiles
November 2023
It has been revealed that brain gray matter volume (GMV) abnormalities are present in patients with vascular cognitive impairment (VCI). However, the GMV alterations that have been uncovered are highly...
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ChatGPT-based biological and psychological data imputation
November 2023
Missing data are a common problem for large cohort or longitudinal research and have been handled through data imputation. Based on simplified models such as linear or nonlinear interpolations, current...
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R2GenGPT: Radiology Report Generation with frozen LLMs
November 2023
Large Language Models (LLMs) have consistently showcased remarkable generalization capa-bilities when applied to various language tasks. Nonetheless, harnessing the full potential of LLMs for Radiology...
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Dual-energy CT: A new frontier in oncology imaging
November 2023
Malignant tumors have risen to prominence as the leading threat to both life and the overall health of individuals. Precision medicine relies heavily on precise imaging. Among the plethora of imaging...
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Artificial general intelligence for radiation oncology
November 2023
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can process extensive...
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A comprehensive survey of complex brain network representation
November 2023
Recent years have shown great merits in utilizing neuroimaging data to understand brain structural and functional changes, as well as its relationship to different neurodegenerative diseases and other...
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Review of large vision models and visual prompt engineering
November 2023
Visual prompt engineering is a fundamental methodology in the field of visual and image artificial general intelligence. As the development of large vision models progresses, the importance of prompt...
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Summary of ChatGPT-Related research and perspective towards the future of large language models
September 2023
This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across...
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Automatic statistical diagnosis of COVID-19 based on multi-modal CT feature extraction
September 2023
Computed tomography (CT) is highly sensitive to lung-related abnormalities as a non-invasive method and has become an essential tool for screening and diagnosing Coronavirus disease 2019 (COVID-19)....
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Multimodal radiology AI
September 2023
The growing armamentarium of artificial intelligence (AI) tools cleared by the United States Food and Drug Administration mostly target a narrow, single imaging modality or data source of information....
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Simultaneously acquired rSUV and rCBF of 18F-FDG/MRI in peritumoral brain zone can help to differentiate the grade of gliomas
September 2023
The purpose of this study is to investigate the diagnostic performance of the peritumoral brain zone (PBZ) in differentiating glioma grades. This is accomplished by comparing the relative standardized...
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Significant enhancement of occluded segment on magnetic resonance imaging predicts severe stenosis in atherosclerotic occlusion
September 2023
The difficulty of recanalization for intracranial atherosclerosis–related large vessel occlusion (ICAS-LVO) is closely related to the severity of stenosis. This study sought to investigate the characteristics...
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Extracting functional connectivity brain networks at the resting state from pulsed arterial spin labeling data
September 2023
Functional connectivity in the brain is often studied with blood oxygenation level dependent (BOLD) resting state functional magnetic resonance imaging (rsfMRI), but the BOLD signal is several steps...
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A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges
September 2023
Large Language Models (LLMs) especially when combined with Generative Pre-trained Transformers (GPT) represent a groundbreaking in natural language processing. In particular, ChatGPT, a state-of-the-art...
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