Results 1 to 10 of about 4,897,424 (373)
Medical Radiology: Current Progress. [PDF]
Diagnostics (Basel), 2023 Recently, medical radiology has undergone significant improvements in patient management due to advancements in image acquisition by the last generation of machines, data processing, and the integration of artificial intelligence.
Pepe A +8 more
europepmc +7 more sources
Radiology-GPT: A Large Language Model for Radiology [PDF]
arXiv, 2023 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 compared to general language models such as StableLM, Dolly and LLaMA.
Zheng Liu +18 more
arxiv +3 more sources
Radiology for medical students (1925-2018): an overview [PDF]
BJR|Open, 2020 Objective: Radiology has been espoused as an excellent tool for educating medical students since 1925. Advances in technology and PACS mean it has never been easier to demonstrate living anatomy and clinical pathology in exquisite detail to students ...
Cannon, Paul +2 more
core +2 more sources
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment [PDF]
MICCAI 2019, 2019 Generating radiology reports is time-consuming and requires extensive expertise in practice. Therefore, reliable automatic radiology report generation is highly desired to alleviate the workload. Although deep learning techniques have been successfully applied to image classification and image captioning tasks, radiology report generation remains ...
Jianbo Yuan +3 more
arxiv +2 more sources
Radiology education: a radiology curriculum for all medical students? [PDF]
Diagnosis, 2017 Diagnostic errors in radiology are frequent and can cause severe patient harm. Despite large performance differences between radiologists and non-radiology physicians, the latter often interpret medical images because electronic health records make ...
Kok, Ellen M. +2 more
core +6 more sources
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays [PDF]
arXiv, 2023 The extraction of structured clinical information from free-text radiology reports in the form of radiology graphs has been demonstrated to be a valuable approach for evaluating the clinical correctness of report-generation methods. However, the direct generation of radiology graphs from chest X-ray (CXR) images has not been attempted.
Keicher, Matthias +5 more
arxiv +2 more sources
Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging
Diagnostics, 2023 This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making its foray into radiology, a move that is catalysing transformational shifts in the healthcare landscape.
Reabal Najjar
semanticscholar +1 more source
Cureus, 2023 This review article provides an overview of using artificial intelligence (AI) in radiology. It discusses the advantages and limitations of ChatGPT, a large language model, for medical imaging diagnosis.
Samriddhi Srivastav +7 more
semanticscholar +1 more source
Medical Radiology in Norway [PDF]
Acta Radiologica, 1996 A short review is given of the development of medical radiology in Norway since the discovery of X-rays in 1895.
E. Poppe, T. Aakhus
openaire +3 more sources
Cross-modal Memory Networks for Radiology Report Generation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Medical imaging plays a significant role in clinical practice of medical diagnosis, where the text reports of the images are essential in understanding them and facilitating later treatments.
Zhihong Chen +3 more
semanticscholar +1 more source