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Are interventional radiology and allied specialities neglected in undergraduate medical education? A systematic review
2019
Annals of Medicine and Surgery
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Standardisation of such efforts via a suggested framework, Strategy Development Framework for Interventional Radiology, can further optimise such outcomes. ...
We also propose a standardised framework for relevant modules. ...
In our previous study we proposed an SDF framework for the development of SBL courses in undergraduate surgical education [34] . ...
doi:10.1016/j.amsu.2019.03.004
pmid:30962927
pmcid:PMC6429536
fatcat:g47mwxwdurecpi3lu5egref2bq
Collective intelligence in medical decision-making: a systematic scoping review
2019
BMC Medical Informatics and Decision Making
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We aim to characterize the current state of research with respect to collective intelligence in medical decision-making and describe a framework for diverse studies in this topic. ...
Collective intelligence, facilitated by information technology or manual techniques, refers to the collective insight of groups working on a task and has the potential to generate more accurate information ...
US resolved differences in data abstraction and contributed to the manuscript's framework. All authors have reviewed and approved this manuscript. ...
doi:10.1186/s12911-019-0882-0
pmid:31399099
pmcid:PMC6688241
fatcat:nujynrgtk5ewnfkzmr32akuy6u
An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
2024
IEEE Transactions on Artificial Intelligence
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2023 accepted arXiv:2304.08448v2 fatcat:uvt3cnwst5cnlc5qb3ieq2vpq4Other Versions
The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on the 'Findings' section ...
Additionally, we design an iterative optimization algorithm that performs automatic evaluation on the generated impression results and composes the corresponding instruction prompts to further optimize ...
Compared with general NLP tasks, radiology report summarization has its own unique challenges. ...
doi:10.1109/tai.2024.3364586
fatcat:azua4zhchjgy5pba3tfcmrdmbq
Radiology Environmental Impact: What Is Known and How Can We Improve?
2022
Academic Radiology
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In this article, we provide a background on Radiology's environmental impact, describe why hospitals should add sustainability as a quality measure, and give a framework for radiologists to reduce the ...
The healthcare sector generates approximately 10% of the total carbon emissions in the United States. ...
The American Board of Radiology and the ACR define quality based on the IOM aims, which provide the current framework for radiologists to measure and evaluate the quality of medical care. ...
doi:10.1016/j.acra.2022.10.021
pmid:36400705
fatcat:bhrinqgjhrhytpknyaxutkqdba
Deep learning applications in visual data for benign and malignant hematological conditions: a systematic review and visual glossary
2023
Haematologica
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Because of its capabilities to analyze medical imaging such as radiology scans and digitized pathology specimens, DL has significant clinical potential as a diagnostic or prognostic tool. ...
subdomain of artificial intelligence algorithms capable of automatically evaluating subtle graphical features to make highly accurate predictions, which was recently popularized in multiple imaging related tasks ...
to be aware of the opportunities that DL may provide. ...
doi:10.3324/haematol.2021.280209
pmid:36700396
pmcid:PMC10388280
fatcat:jter3z47bfa45fre2rt6rqkpoq
BI-RADS BERT and Using Section Segmentation to Understand Radiology Reports
2022
Journal of Imaging
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Using the BERT model pre-trained on breast radiology reports, combined with section segmentation, resulted in an overall accuracy of 95.9% in the field extraction tasks. ...
Radiology reports are one of the main forms of communication between radiologists and other clinicians, and contain important information for patient care. ...
We want to thank the Ontario Breast Screening Program (OBSP) for being our primary research data source. ...
doi:10.3390/jimaging8050131
pmid:35621895
pmcid:PMC9148091
fatcat:kz64ch4l6vgtnk74as574tqvhe
Capturing the Essence of Developing Endovascular Expertise for the Construction of a Global Assessment Instrument
2010
European Journal of Vascular and Endovascular Surgery
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Design: Literature review and an experimental study. ...
Materials and methods: The literature was searched for information regarding available global rating scales (GRSs); scientific societies' official statements on endovascular competence; and task analyses ...
The Centre for Clinical Education, Rigshospitalet, contributed with financial support to the study. ...
doi:10.1016/j.ejvs.2010.04.022
pmid:20807686
fatcat:sti4onrhyna5lh5yj6kkdb5sfm
Radiology residency training in China: results from the first retrospective nationwide survey
2021
Insights into Imaging
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Respondents trained in the northeast and the west were more likely to report, for instance, radiological examination recommendation (OR = 1.91, 95%CI = 1.27-2.88), as "very frequent." ...
and reporting) was consistent. ...
The authors would like to thank the Chinese Association of Radiologists for their support. The authors are deeply indebted to all these organizations for the generous help. ...
doi:10.1186/s13244-021-00970-2
pmid:33595737
fatcat:rdowr6ft4zejzfsc5kjjynhyty
Page 3065 of Psychological Abstracts Vol. 75, Issue 11
[page]
1988
Psychological Abstracts
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
—Observers with four different levels of radiological experience performed a recognition memory task on slides of faces and chest X-ray films. ...
Memory for abnormal X-ray films increased with radiological experience and, for the most experienced radiologists, was equivalent to memory for faces. ...
A Web-Based Flexible Communication System in Radiology
2010
Journal of digital imaging
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We report a successful radiology communication system based on the principles of flexibility and inclusiveness of users inside and outside the radiology department. ...
A web-based system for rapid multidirectional communication has been created in the Radiology department at San Francisco General Hospital. ...
The Radiologue system is our first attempt at creation of such an inclusive, pleuripotent system. ...
doi:10.1007/s10278-010-9351-0
pmid:21152949
pmcid:PMC3180535
fatcat:6osgjdgylngenjklwrg7qgsery
Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges
2020
European Radiology
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. • Based on existing study quality standard frameworks such as SPIRIT and STARD, we propose a list of quality criteria for ML studies in radiology. • The cardiovascular imaging research community should ...
While the focus of this position statement is ML development in cardiovascular imaging, most considerations are relevant to ML in radiology in general. ...
They report an F1 score of 0.89 for calcium scoring of coronaries on soft kernel reconstructions
• ML algorithms provide opportunities along the whole task-pipeline of cardiovascular radiology. ...
doi:10.1007/s00330-020-07417-0
pmid:33211147
fatcat:lwd7uxms7vh4lkiteiajjuziw4
Infection prevention and control in medical imaging surveys: The need to map to guidelines to address systemic issues?
2023
Infection Disease & Health
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Existing topics within IPC surveys in MI are tailored to individual studies and locales, with lack of consistency to national frameworks. ...
Infection prevention and control (IPC) in the medical imaging (MI) setting is recognised as an important factor in providing high-quality patient care and safe working conditions. ...
in Healthcare', [1] , which is an example of a national framework across many health settings. ...
doi:10.1016/j.idh.2023.01.001
pmid:36707351
fatcat:onw75chyobdwzhbb6i6hro2soq
BI-RADS BERT Using Section Segmentation to Understand Radiology Reports
[article]
2022
arXiv
pre-print
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Using the BERT model pre-trained on breast radiology reports combined with section segmentation resulted in an overall accuracy of 95.9% in the field extraction tasks. ...
Radiology reports are one of the main forms of communication between radiologists and other clinicians and contain important information for patient care. ...
Martin Yaffe and his research team for assistance in obtaining data. ...
arXiv:2110.07552v2
fatcat:knhasjoudzconjigxqx6mwgb7m
Exploring the Nontechnical Competencies for On-scene Public Health Responders in Chemical, Biological, Radiological and Nuclear Emergencies: A Qualitative Study
2020
Public Health
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Eight domains of non-technical core competencies were identified: (1) situation awareness, (2) communication skills, (3) collaboration, (4) resource management, (5) task management, (6) cultural competency ...
The purpose of this study was to define and delineate specific non-technical competencies for first-line public health responders in Chemical, Biological, Radiological, and Nuclear (CBRN) emergencies in ...
Although inclusion criteria for subjects were based on their experience in the field of CBRN responses and their varying backgrounds, it is possible that a potential source of bias exists in respondents ...
doi:10.1016/j.puhe.2020.04.015
pmid:32413805
pmcid:PMC7167558
fatcat:t4yb2nnccra7tfrnos2w7v2xti
Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?
2021
Bioethics
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What are the reasons for such inclusion? Which ethical concepts are referred to? ...
General guidelines for ethical AI consider a varying number of principles important. ...
concept in radiological white papers and general guidelines for ethical AI. ...
doi:10.1111/bioe.12918
pmid:34251687
fatcat:hke7xlc32jh5tau5lz4ums2yxi
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