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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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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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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When brain-inspired AI meets AGI
June 2023
Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. To achieve this, AGI...
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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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Vision transformers in multi-modal brain tumor MRI segmentation: A review
June 2023
Brain tumors have shown extreme mortality and increasing incidence during recent years, which bring enormous challenges for the timely diagnosis and effective treatment of brain tumors. Concretely,...
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The impact of ChatGPT and LLMs on medical imaging stakeholders: Perspectives and use cases
June 2023
This study investigates the transformative potential of Large Language Models (LLMs), such as OpenAI ChatGPT, in medical imaging. With the aid of public data, these models, which possess remarkable...
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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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A review of uncertainty estimation and its application in medical imaging
June 2023
The use of AI systems in healthcare for the early screening of diseases is of great clinical importance. Deep learning has shown great promise in medical imaging, but the reliability and trustworthiness...
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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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Deep learning-based rigid motion correction for magnetic resonance imaging: A survey
June 2023
Physiological and physical motions of the subjects, e.g., patients, are the primary sources of image artifacts in magnetic resonance imaging (MRI), causing geometric distortion, blurring, low signal-to-noise...
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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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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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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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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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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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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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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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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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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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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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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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Application of omics-based biomarkers in substance use disorders
June 2023
Substance use disorder (SUD) is a type of addictive encephalopathy resulting from drug abuse, which leads to abnormal cerebral alterations indicating neurotoxicity that is manifested through various...
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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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