Results 21 to 30 of about 5,281,387 (395)
Artificial intelligence in radiology
Nature Reviews Cancer, 2018 Ahmed Hosny +2 more
exaly +2 more sources
陆军军医大学学报, 2023 As the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continued to spread and mutate, our national epidemic prevention and control has entered a new stage since November 2022, and the Diagnosis and Treatment Protocol for SARS-CoV-2 ...
Cardiothoracic Group of Radiology Branch of Chongqing Medical Association, Chongqing Quality Control Center for Medical Imaging
doaj +1 more source
A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required.
Elvira Amador-Domínguez +3 more
doaj +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.
T, Aakhus, E, Poppe
openaire +2 more sources
Towards Generalist Foundation Model for Radiology [PDF]
arXiv.org, 2023 In this study, we aim to initiate the development of Radiology Foundation Model, termed as RadFM. We consider the construction of foundational models from three perspectives, namely, dataset construction, model design, and thorough evaluation.
Chaoyi Wu +4 more
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
European Radiology, 2023 We aimed to assess undergraduate medical students’ knowledge, attitude, and perception regarding artificial intelligence (AI) in medicine. A multi-national, multi-center cross-sectional study was conducted from March to April 2022, targeting ...
Ahmed Hafez Allam +5 more
semanticscholar +1 more source
Journal of Dental Sciences, 2023 Background/purpose: In Taiwan, the dental radiology has a history of more than 100 years. However, medical radiation schools or teaching hospitals have not yet established a set of standard learning content for dental radiology internship.
Feng-Chou Cheng +6 more
doaj +1 more source
Federated learning for medical imaging radiology
British Journal of Radiology, 2023 Federated learning (FL) is gaining wide acceptance across the medical AI domains. FL promises to provide a fairly acceptable clinical-grade accuracy, privacy, and generalisability of machine learning models across multiple institutions.
Muhammad Habib ur Rehman +5 more
semanticscholar +1 more source
Knowledge-enhanced visual-language pre-training on chest radiology images [PDF]
Nature Communications, 2023 While multi-modal foundation models pre-trained on large-scale data have been successful in natural language understanding and vision recognition, their use in medical domains is still limited due to the fine-grained nature of medical tasks and the high ...
Xiaoman Zhang +4 more
semanticscholar +1 more source