Results 121 to 130 of about 747,183 (372)

RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training [PDF]

open access: yesarXiv
The integration of artificial intelligence (AI) with radiology marks a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging analysis. However, the distinct complexities of radiologic 2D and 3D radiologic data pose unique challenges that existing models, pre-trained on general non-medical images, fail ...
arxiv  

A survey of the participants’ learning outcomes after finishing the dental radiology course for the continuing education of medical radiation technologists in Taiwan

open access: yesJournal of Dental Sciences
Background/purpose: In Taiwan, there are very few dental radiology curricula in medical radiation education system. This study assessed the participants’ learning outcomes after finishing the dental radiology course for the continuing education of ...
Feng-Chou Cheng   +6 more
doaj  

A single static breast model education of ultrasound skill in final year medical students of Burapha University

open access: yesJournal of Medical Ultrasound, 2018
Background: Ultrasound (US) is widely used among physicians. There has been no standardized curriculum in US for undergraduate medical students. This study aimed to assess the US image acquisition skill of final year medical students after adding 2 weeks
Sornsupha Limchareon   +1 more
doaj   +1 more source

Sedation practice among Nigerian radiology residents [PDF]

open access: yes, 2018
Background: Providing safe and effective sedation to patients, especially those with multiple medical problems, can be challenging for radiology residents and fellows.
Adenekan, A.T.   +4 more
core   +1 more source

RAD-PHI2: Instruction Tuning PHI-2 for Radiology [PDF]

open access: yesarXiv
Small Language Models (SLMs) have shown remarkable performance in general domain language understanding, reasoning and coding tasks, but their capabilities in the medical domain, particularly concerning radiology text, is less explored. In this study, we investigate the application of SLMs for general radiology knowledge specifically question answering
arxiv  

MGH Radiology Llama: A Llama 3 70B Model for Radiology [PDF]

open access: yesarXiv
In recent years, the field of radiology has increasingly harnessed the power of artificial intelligence (AI) to enhance diagnostic accuracy, streamline workflows, and improve patient care. Large language models (LLMs) have emerged as particularly promising tools, offering significant potential in assisting radiologists with report generation, clinical ...
arxiv  

Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment [PDF]

open access: yesMICCAI 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 ...
arxiv  

Career in radiology; the ghanaian clinical medical Student's perception

open access: yesHeliyon, 2022
Background: The importance of radiology in this era of evidence-based medicine cannot be disputed. This has resulted in the increase in demand for radiologists. Thus, the issue of whether there would be sufficient numbers of medical students to meet this
Klenam Dzefi-Tettey   +14 more
doaj  

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