Prompt engineering for healthcare: Methodologies and applications
March 2026
Prompt engineering is a critical technique in the field of natural language processing (NLP) that involves designing and optimizing the prompts used to input information into models, aiming to enhance...
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...
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...
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 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...
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....
Quantum artificial intelligence: A comprehensive survey
March 2026
Quantum Artificial Intelligence (QAI) has emerged at the nexus of quantum computing and AI, promising to redefine computational frontiers. This survey critically synthesizes the state-of-the-art through...
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...
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...
Diagnostic accuracy of artificial intelligence models in ultrasound-based detection of abdominal trauma: A systematic review and meta-analysis
March 2026
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...
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...
Rethinking the studies of diagnostic biomarkers for mental disorders
March 2025
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....
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...
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,...
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...
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...
Advances in neuroimaging applications of quantitative susceptibility mapping
September 2025
This review article delves into the advancements of quantitative susceptibility mapping (QSM) in neuroimaging, highlighting its utility in detecting and quantifying magnetic susceptibility differences...
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...
Chest X-ray foundation models: A survey and future directions
March 2026
Recent years have seen an increase in the development of foundation models for chest X-ray (CXR) analysis. Such foundation models provide robust, generalizable feature extraction abilities and allow...
Human knowledge-enhanced large language model agent for prediction of intestinal disease progression in patients with Crohn's disease: A multicenter retrospective study
March 2026
Effective tools for risk stratification of intestinal disease progression (IDP) in Crohn's disease (CD) patients remain limited. Electronic medical records (EMRs) contain detailed information describing...
An umbrella review of the efficacy of different physical therapy modalities for post-traumatic stress disorder (PTSD)
June 2026
This study aimed to assess the efficacy of different physiotherapy modalities for the treatment of post-traumatic stress disorder using an umbrella review. As of June 2024, we have published evidence...
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...
Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor
June 2025
In this study, we use large language models (LLMs) to integrate information from multi-source medical reports to enhance the accuracy of automated diagnostic classification and prognosis for brain ...