Results 121 to 130 of about 747,183 (372)
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training [PDF]
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
Medical and Legal Aspects of the Increasing Demand for Diagnostic Radiology [PDF]
J Raison
openalex +3 more sources
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
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]
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]
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]
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]
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
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
Proceedings of the Thirteenth Congress of the Northern Association for Medical Radiology [PDF]
openalex +1 more source