Meta-Radiology

Open access

ISSN: 2950-1628

Meta-Radiology

Open access

Meta-Radiology is an interdisciplinary journal that provides a forum for the dissemination of new research results in the field of radiology. The typical medical images of interest include those acqui...

Meta-Radiology is an interdisciplinary journal that provides a forum for the dissemination of new research results in the field of radiology. The typical medical images of interest include those acquired from: magnetic resonance, ultrasound, computed tomography, nuclear medicine, and X-ray.

The types of papers of interest include those that use different modality medical images to perform the following types of clinical and basic science investigations:

Clinical radiology : detection, diagnosis, efficacy prediction, prognosis prediction, etc.

Artificial intelligence in radiology : segmentation, visualization, feature extraction, image generation, computer-aided diagnosis, computer-aided detection, NLP in radiology, etc.

Molecular imaging : utilization of molecular imaging (i.e. nuclear imaging, autoradiography and pathology, MRI, ultrasound imaging, radiomics/genomics etc.) to investigate questions related to cell biology, molecular biology and diagnostic imaging.

New medical imaging technology : image acquisition, image postprocessing, fast imaging, automatic scanning, etc.

Interventional radiology : interventional biopsy, intervention therapy, interventional diagnosis, new interventional techniques, such as ultrasound guided interventional techniques, MR guided interventional techniques, etc.

Radiation : molecular and cellular radiation biology, radiation physics, radiation technology, and clinical oncology radiation treatment, etc.

Other interdisciplinary radiology : medical physics, neuroscience and neuroimaging, radiochemistry, radiobiology, radiogenetics, radiotoxicology, etc.

Editorial Board

Society affiliation

The Second Xiangya Hospital, founded in 1958, is an affiliated hospital to Central South University, which has the most complete disciplines in China and is the largest Class A hospital in Hunan province. It has long enjoyed a great fame in south China. According to Fudan University's Ranking of Hospitals in China, the Hospital ranks 13 in comprehe...

The Second Xiangya Hospital, founded in 1958, is an affiliated hospital to Central South University, which has the most complete disciplines in China and is the largest Class A hospital in Hunan province. It has long enjoyed a great fame in south China. According to Fudan University's Ranking of Hospitals in China, the Hospital ranks 13 in comprehensive strength and 15 in specialist areas. The Hospital has now 3,500 beds, 40 clinical departments, 9 medical laboratories, 127 ward areas; 4,985 employees, including 722 experts with senior technical titles, 4 scholars of the "Thousand Talents Program" and Changjiang Scholars Program, 2 National Outstanding Youth Talents, 7 middle-aged and young experts who have made outstanding contributions to the National Health Commission, 62 experts who receive special allowance from the State Council, and 42 Famous Xiangya Doctors. Its employees have undertaken 39 positions in international academic institutions, and 30 positions in international academic magazines, and 9 chairman or vice chairman positions in secondary committees of the Chinese Medical Association and the Chinese Medical Doctor Association.

Potential of multimodal large language models for data mining of medical images and free-text reports

Cardiovascular medical image and analysis based on 3D vision: A comprehensive survey

Developmental trends in corpus callosum thickness among preschool children

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1. Summary of ChatGPT-Related research and perspective towards the future of large language models

2. Review of large vision models and visual prompt engineering

3. A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

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Summary of ChatGPT-Related research and perspective towards the future of large language models

A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

Review of large vision models and visual prompt engineering

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Magnetic resonance-guided focused ultrasound in intracranial diseases.

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