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...
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...
Radiology-GPT: A large language model for radiology
June 2025
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...
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...
Intelligent analysis of chest X-ray based on multi-modal instruction tuning
September 2025
Chest X-ray plays a crucial role in the screening and diagnosis of chest diseases. Due to the complexity of pathological manifestations and limitations of radiologists' experience, the accuracy and...
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...
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...
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...
Critical review of patient outcome study in head and neck cancer radiotherapy
September 2025
In modern radiation therapy for head and neck cancers, the treatment related toxicities remain a significant clinical challenge. This review critically evaluates the evolution of data-driven approaches...
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...
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....
Prompt Engineering for Healthcare: Methodologies and Applications
Available online 22 November 2025
Prompt engineering is a critical technique in the field of natural language processing that involves designing and optimizing the prompts used to input information into models, aiming to enhance their...
Fast-RF-Shimming: Accelerate RF shimming in 7T MRI using deep learning
September 2025
Ultrahigh field (UHF) Magnetic Resonance Imaging (MRI) offers an elevated signal-to-noise ratio (SNR), enabling exceptionally high spatial resolution that benefits both clinical diagnostics and advanced...
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...
Reference ranges of CT quantitative indexes based on paired inspiratory and expiratory chest CT in healthy Chinese adults: A community-based cohort study
June 2025
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...
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...
Consistency-driven state-space model for incomplete multimodal MRI brain tumor segmentation
December 2025
Brain tumor segmentation based on multimodal magnetic resonance imaging (MRI) plays a crucial role in clinical diagnosis and treatment planning. However, the absence or unavailability of certain modalities...
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...
Diagnostic Accuracy of Artificial Intelligence Models in Ultrasound-Based Detection of Abdominal Trauma: A Systematic Review and Meta-Analysis
Available online 31 October 2025
Abdominal trauma detection via ultrasound, particularly through Focused Assessment with Sonography for Trauma (FAST), is a cornerstone of emergency medicine due to its portability, real-time imaging...
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...
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...
MRI-based radiomics for assisting diagnosis, assessment, and treatment of brain metastases in lung cancer
December 2025
Brain metastases (BMs) are the most prevalent intracranial malignancies. Brain metastases from lung cancer (LC) are particularly common in clinical practice and are strongly associated with poor prognosis...
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,...
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...
Cardiac ECV mapping: Underlying concepts and clinical applications
September 2025
Myocardial Extracellular volume fraction (ECV) mapping, based on cardiac magnetic resonance (CMR), is a crucial technique for assessing myocardial histological changes by evaluating extracellular matrix...