Results 101 to 110 of about 747,183 (372)
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation [PDF]
BioNLP 2023, Co-located with ACL 2023, 2023 Instruction-tuned generative Large language models (LLMs) like ChatGPT and Bloomz possess excellent generalization abilities, but they face limitations in understanding radiology reports, particularly in the task of generating the IMPRESSIONS section from the FINDINGS section.
arxiv
AMSER Guide to Applying for Radiology Residency
MedEdPORTAL, 2011 This guide helps answer frequently asked questions about how to apply to radiology residency. This guide includes sections on helping a student figure out if radiology is right for him/her, what makes a successful candidate, the time line of suggestions ...
Sravanthi Reddy +3 more
doaj +1 more source
Filmless Hospital with PACS as a Workflow Controller, Case Study: National Hospital Surabaya [PDF]
, 2015 Traditionally radiology produces a visual representation of medical images in film format for further clinical analysis. While some healthcare providers still used films to display scan results, others are embracing the advancing technology of digital ...
Romeo, R. (Romeo) +1 more
core +1 more source
Radiation in medicine: Origins, risks and aspirations. [PDF]
, 2014 The use of radiation in medicine is now pervasive and routine. From their crude beginnings 100 years ago, diagnostic radiology, nuclear medicine and radiation therapy have all evolved into advanced techniques, and are regarded as essential tools across ...
Donya, M +4 more
core +1 more source
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge
, 2022 Automatic radiology report generation is critical in clinics which can relieve experienced radiologists from the heavy workload and remind inexperienced radiologists of misdiagnosis or missed diagnose.
Ge, Shen +4 more
core +1 more source
A New System For Recording The Radiological Effective Doses For Patients Investigated by Imaging Methods [PDF]
arXiv, 2014 In this paper the project of an integrated system for radiation safety and security of the patients investigated by radiological imaging methods is presented. The new system is based on smart cards and Public Key Infrastructure. The new system allows radiation effective dose data storage and a more accurate reporting system.
arxiv
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation [PDF]
arXiv, 2020 Neural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying possible medical errors. However, existing report generation systems, despite achieving high performances on natural language generation metrics such as CIDEr or BLEU, still ...
arxiv
ESR statement on new approaches to undergraduate teaching in Radiology
Insights into Imaging, 2019 Medical education is evolving and electronic learning (e-Learning) strategies have now become an essential asset in radiology education. Radiology education is a significant part of the undergraduate medical curriculum and the use of e-Learning in ...
European Society of Radiology (ESR)
doaj +1 more source
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study [PDF]
arXiv, 2018 Extraction of relevant pathological terms from radiology reports is important for correct image label generation and disease population studies. In this letter, we compare the performance of some known application program interface (APIs) for the task of thoracic abnormality extraction from radiology reports. We explored several medical domain specific
arxiv
Journal of Hepatocellular Carcinoma, 2019 Khaled M Elsayes,1 Ania Z Kielar,2 Victoria Chernyak,3 Ali Morshid,1 Alessandro Furlan,4 William R Masch,5 Robert M Marks,6 Aya Kamaya,7 Richard KG Do,8 Yuko Kono,9 Kathryn J Fowler,9 An Tang,10 Mustafa R Bashir,11 Elizabeth M Hecht,12 Kedar Jambhekar,13
Elsayes KM +30 more
doaj