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Meta-Radiology is a peer-reviewed journal published by Elsevier, covering Radiomics and Machine Learning in Medical Imaging, Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Meta-Radiology 12 (2023) 45–58.
Formats any DOI in Meta-Radiology style. No sign-up. |
| Publishes research in | Radiomics and Machine Learning in Medical Imaging Artificial Intelligence in Healthcare and Education COVID-19 diagnosis using AI Advanced X-ray and CT Imaging Functional Brain Connectivity Studies |
| ISSN | 2950-1628 |
| Citation impact (2-yr) | 3.84 |
| h-index | 17 |
| i10-index | 23 |
| Total citations | 2,171 |
| Open access | Yes |
| Top institutions publishing here | Central South University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
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 diverse domains. Indeed, key innovations such as large-scale pre-training that captures knowledge across the entire world wide web, instruction fine-tuning and Reinforcement Learning from Human Feedback (RLHF) have played…
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 conversational language model with a user-friendly interface, has garnered substantial attention owing to its remarkable capability for generating human-like responses across a variety of conversational scenarios. This survey offers an overview…
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 engineering becomes increasingly evident. Designing suitable prompts for specific visual tasks has emerged as a meaningful research direction. This review aims to summarize the methods employed…
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 Report Generation (R2Gen) still presents a challenge, stemming from the inherent disparity in modality between LLMs and the R2Gen task. To bridge this gap effectively, we propose R2GenGPT, which…
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 of AI systems limit their deployment in real clinical scenes, where patient safety is at stake. Uncertainty estimation plays a pivotal role in…
