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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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...
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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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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 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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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...
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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 survey of emerging applications of diffusion probabilistic models in MRI
June 2024
Diffusion probabilistic models (DPMs) which employ explicit likelihood characterization and a gradual sampling process to synthesize data, have gained increasing research interest. Despite their huge...
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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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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...
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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...
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The general intelligence of GPT–4, its knowledge diffusive and societal influences, and its governance
June 2024
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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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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7T MRI in cerebrovascular disorders: From large artery abnormalities to small vessel disease
September 2024
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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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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Opportunities and challenges in the application of large artificial intelligence models in radiology
June 2024
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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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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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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Thoracic CT imaging in obesity: Technical challenges, imaging findings and future outlook
September 2024
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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A systematic evaluation of GPT-4V's multimodal capability for chest X-ray image analysis
December 2024
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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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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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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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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