Results 121 to 130 of about 1,219,864 (384)
What the radiologist should know about artificial intelligence – an ESR white paper
This paper aims to provide a review of the basis for application of AI in radiology, to discuss the immediate ethical and professional impact in radiology, and to consider possible future evolution.
European Society of Radiology (ESR)
doaj +1 more source
Value-based radiology: what is the ESR doing, and what should we do in the future?
Value-based radiology (VBR) is rapidly gaining ground as a means of considering the input of radiology practice into individual and societal healthcare, and represents a welcome move away from older metrics focused on counting studies performed, without ...
European Society of Radiology (ESR)
doaj +1 more source
RadLing: Towards Efficient Radiology Report Understanding [PDF]
Most natural language tasks in the radiology domain use language models pre-trained on biomedical corpus. There are few pretrained language models trained specifically for radiology, and fewer still that have been trained in a low data setting and gone on to produce comparable results in fine-tuning tasks.
arxiv
ObjectivesTo update the 2012 ESGAR consensus guidelines on the acquisition, interpretation and reporting of magnetic resonance imaging (MRI) for clinical staging and restaging of rectal cancer.MethodsFourteen abdominal imaging experts from the European ...
R. Beets-Tan+18 more
semanticscholar +1 more source
RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance [PDF]
Conversational AI tools that can generate and discuss clinically correct radiology reports for a given medical image have the potential to transform radiology. Such a human-in-the-loop radiology assistant could facilitate a collaborative diagnostic process, thus saving time and improving the quality of reports. Towards this goal, we introduce RaDialog,
arxiv
Credentialing for radiology [PDF]
Patients expect to receive safe, predictable and high-quality care delivered by competent professionals. Thus, it has become important to provide specific training in existing and new modalities and prove on-going clinical expertise. Hospital credentialing is the process by which the competence of a doctor is determined by the hospital management.
Kenneth R. Thomson, Maryann Street
openaire +3 more sources
Learning Diagnosis of COVID-19 from a Single Radiological Image [PDF]
Radiological image is currently adopted as the visual evidence for COVID-19 diagnosis in clinical. Using deep models to realize automated infection measurement and COVID-19 diagnosis is important for faster examination based on radiological imaging. Unfortunately, collecting large training data systematically in the early stage is difficult. To address
arxiv
Procedure Appropriateness Category Relative Radiation Level Radiography area of interest Usually Appropriate Varies CT area of interest with IV contrast Usually Not Appropriate Varies CT area of interest without and with IV contrast Usually Not ...
Daniel Bell
semanticscholar +1 more source
It has been my good fortune to live and practice radiology during a long period of momentous change – to see the transformation of the discipline from a supportive service into a mainstream, essential branch of clinical medicine. I remember wearing red goggles to adapt my vision before performing fluoroscopy; observing the horrible, now thankfully ...
openaire +4 more sources
Pelvic tuberculosis: a forgotten diagnosis – case report
We present a case of a 14-year-old girl, Bacillus Calmette-Guérin (BCG) vaccinated, who presented with vague symptoms of abdominal pain, weight loss, and fatigue.
Natacha Abreu, MD, Resident in Radiology+4 more
doaj