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Clinical Radiology Apr 2023To understand the attitudes of UK radiology trainees towards artificial intelligence (AI) in Radiology, in particular, assessing the demand for AI education.
AIM
To understand the attitudes of UK radiology trainees towards artificial intelligence (AI) in Radiology, in particular, assessing the demand for AI education.
MATERIALS AND METHODS
A survey, which ran over a period of 2 months, was created using the Google Forms platform and distributed via email to all UK training programmes.
RESULTS
The survey was completed by 149 trainee radiologists with at least one response from all UK training programmes. Of the responses, 83.7% were interested in AI use in radiology but 71.4% had no experience of working with AI and 79.9% would like to be involved in AI-based projects. Almost all (98.7%) felt that AI should be taught during their training, yet only one respondent stated that their training programme had implemented AI teaching. Respondents indicated that basic understanding, implementation, and critical appraisal of AI software should be prioritized in teaching. Of the trainees, 74.2% agreed that AI would enhance the job of diagnostic radiologists over the next 20 years. The main concerns raised were information technology/implementation and ethical/regulatory issues.
CONCLUSION
Despite the current limited availability of AI-based activities and teaching within UK training programmes, UK trainees' attitudes towards AI are mostly positive with many showing interest in being involved with AI-based projects, activities, and teaching.
Topics: Humans; Artificial Intelligence; Radiology; Radiologists; Radiography; Surveys and Questionnaires
PubMed: 36746724
DOI: 10.1016/j.crad.2022.12.017 -
Clinical Imaging Apr 2020Quality and patient safety are essential to the practice of radiology. "Quality is our image" is the slogan for the American College of Radiology (ACR), which has...
Quality and patient safety are essential to the practice of radiology. "Quality is our image" is the slogan for the American College of Radiology (ACR), which has embraced the quality and safety movement as a central tenet. The impact of advances in radiology on diagnosis and management of complex medical disorders cannot be understated. Nevertheless, these revolutionary technologies do come at a cost. Increasing utilization of advanced imaging in emergency departments throughout the country poses challenges both in terms of appropriate use and management of radiation dose. The indispensable place advanced imaging plays in diagnosis has necessitated guidelines and accountability to protect patients and radiology staff. In this series, we have created a concise discourse on what we have determined to be the essentials of the economics of quality and safety as it pertains to radiology. In this first article, we summarize the accreditation programs in radiology, their legislative background, and the associated financial and market responses that have subsequently resulted. We discuss the progression from historical predecessors to the passage of the Mammography Quality and Safety Act (MQSA), which served as a model for subsequent laws governing the quality and safety of other imaging modalities. These laws have had real economic implications for radiology practices seeking to meet new increasingly stringent guidelines. We also break down the costs of participation in the ACR accreditation and center of excellence programs.
Topics: Accreditation; Humans; Mammography; Radiology; United States
PubMed: 31812348
DOI: 10.1016/j.clinimag.2019.09.003 -
Tumori 2014To present the Italian state-of-the-art contribution to radiobiology of external beam radiotherapy, brachytherapy, and radionuclide radiotherapy. (Review)
Review
AIMS AND BACKGROUND
To present the Italian state-of-the-art contribution to radiobiology of external beam radiotherapy, brachytherapy, and radionuclide radiotherapy.
METHODS AND STUDY DESIGN
A survey of the literature was carried out, using PubMed, by some independent researchers of the Italian group of radiobiology. Each paper was reviewed by researchers of centers not comprising its authors. The survey was limited to papers in English published over the last 20 years, written by Italian investigators or in Italian institutions, excluding review articles.
RESULTS
A total of 135 papers have been published in journals with an impact factor, with an increase in the number of published papers over time, for external beam radiotherapy rather than radionuclide radiotherapy. The quantity and quality of the papers researched constitutes a proof of the enduring interest in clinical radiobiology among Italian investigators.
CONCLUSIONS
The survey could be useful to individuate expert partners for an Italian network on clinical radiobiology, addressing future collaborative investigations.
Topics: Biomedical Research; Brachytherapy; Dose Fractionation, Radiation; Dose-Response Relationship, Radiation; Humans; Italy; Models, Theoretical; Neoplasms; Nuclear Medicine; Practice Patterns, Physicians'; Radiation Oncology; Radiobiology; Radiology; Radiology, Interventional; Radionuclide Imaging
PubMed: 25688496
DOI: 10.1700/1778.19266 -
Journal of the American College of... Feb 2021
Topics: Internship and Residency; Radiology
PubMed: 32735919
DOI: 10.1016/j.jacr.2020.07.008 -
Radiologie (Heidelberg, Germany) Sep 2023With the introduction of ChatGPT in late November 2022, large language models based on artificial intelligence have gained worldwide recognition. These language models... (Review)
Review
BACKGROUND
With the introduction of ChatGPT in late November 2022, large language models based on artificial intelligence have gained worldwide recognition. These language models are trained on vast amounts of data, enabling them to process complex tasks in seconds and provide detailed, high-level text-based responses.
OBJECTIVE
To provide an overview of the most widely discussed large language models, ChatGPT and GPT‑4, with a focus on potential applications for patient-centered radiology.
MATERIALS AND METHODS
A PubMed search of both large language models was performed using the terms "ChatGPT" and "GPT-4", with subjective selection and completion in the form of a narrative review.
RESULTS
The generic nature of language models holds great promise for radiology, enabling both patients and referrers to facilitate understanding of radiological findings, overcome language barriers, and improve the quality of informed consent discussions. This could represent a significant step towards patient-centered or person-centered radiology.
CONCLUSION
Large language models represent a promising tool for improving the communication of findings, interdisciplinary collaboration, and workflow in radiology. However, important privacy issues and the reliable applicability of these models in medicine remain to be addressed.
Topics: Humans; Artificial Intelligence; Radiology; Radiography; Language; Patient-Centered Care
PubMed: 37615692
DOI: 10.1007/s00117-023-01187-8 -
Journal of the American College of... Feb 2016
Topics: Humans; Ireland; Patient Safety; Quality Assurance, Health Care; Radiology; Radiology Information Systems; Reminder Systems
PubMed: 26846391
DOI: 10.1016/j.jacr.2015.07.028 -
Radiologic Technology 2015Developing countries have far fewer trained radiography professionals than developed countries, which exacerbates the limited access to imaging services. The lack of... (Review)
Review
BACKGROUND
Developing countries have far fewer trained radiography professionals than developed countries, which exacerbates the limited access to imaging services. The lack of trained radiographers reflects, in part, limited availability of radiographer-specific educational resources. Historically, organizations that provided such resources in the developing world faced challenges related to the limited stock of current materials as well as expenses associated with shipping and delivery.
METHODS
Four mobile electronic devices (MEDs) were loaded with educational content (e-books, PDFs, and digital applications) spanning major radiography topics. The MEDs were distributed to 4 imaging departments in Ghana, India, Nepal, and Nigeria based on evidence of need for radiography-specific resources, as revealed by survey responses. A cost comparison of postal delivery vs digital delivery of educational content was performed. The effectiveness of delivering additional content via Wi-Fi transmission also was evaluated. Feedback was solicited on users' experience with the MEDs as a delivery tool for educational content.
RESULTS
An initial average per e-book expense of $30.05, which included the cost of the device, was calculated for the MED delivery method compared with $15.56 for postal delivery of printed materials. The cost of the MED delivery method was reduced to an average of $10.05 for subsequent e-book deliveries. Additional content was successfully delivered via Wi-Fi transmission to all recipients during the 3-month follow-up period. Overall user feedback on the experience was positive, and ideas for enhancing the MED-based method were identified.
CONCLUSION
Using MEDs to deliver radiography-specific educational content appears to be more cost effective than postal delivery of printed materials on a long-term basis. MEDs are more efficient for providing updates to educational materials. Customization of content to department needs, and using projector devices could enhance the usefulness of MEDs for radiographer training.
Topics: Computer-Assisted Instruction; Computers, Handheld; Cost-Benefit Analysis; Developing Countries; Diagnostic Imaging; Educational Measurement; Radiology
PubMed: 25995401
DOI: No ID Found -
Academic Radiology May 2022The COVID-19 pandemic has transformed radiology recruitment into a virtual affair and placed an even stronger emphasis on the importance of departmental websites. In...
RATIONALE AND OBJECTIVES
The COVID-19 pandemic has transformed radiology recruitment into a virtual affair and placed an even stronger emphasis on the importance of departmental websites. In this study, we evaluate residency websites in detailing the response to COVID-19 as well as initiatives which help describe the resident experience.
MATERIALS AND METHODS
Program websites for diagnostic radiology residencies listed in the 2022 Electronic Residency Application Service (ERAS) program list were evaluated for 31 criteria related to departmental response to COVID-19, online outreach, and resident wellness.
RESULTS
Of 184 programs, 182 had functioning websites for review. One program was excluded from analysis as the website was almost entirely video-based. In response to COVID-19, ≤1% described resident redeployment, vaccination information, departmental response to ABR Core Exam changes, or regular administration updates. Six (3.3%) described revised read-out protocols, four (2.2%) mentioned supplementary non-clinical education, and 14 (7.7%) indicated changes to educational conferences. The majority of websites (122, 67.4%) offered an informational or tour video, while 44 (24.3%) described expectations for virtual interviewing, and 20 (11.0%) had virtual "open-houses." Departmental social media, primarily Twitter, was linked for 60 (33.1%) programs. A total of 134 (74.0%) websites described community highlights. More than a quarter mentioned meal stipends (72, 39.8%), paid sick time (54, 29.8%) and healthcare resources (57, 31.5%). Although social activities were described by 44 (24.3%) programs, some specifically indicating changes to COVID-19, formal resident mentoring (25, 13.8%) and wellness committees (28, 15.5%) were less common. These criteria were found more commonly at the largest third of residency programs (chi square, p < 0.00625).
CONCLUSION
Programs rarely described work flow changes to COVID-19, and websites could improve in virtual outreach. Compared with prior literature, departmental websites have improved in describing wellness initiatives and related measures.
Topics: COVID-19; Education, Medical, Graduate; Humans; Internship and Residency; Pandemics; Radiology
PubMed: 35379478
DOI: 10.1016/j.acra.2021.11.023 -
Pediatric Radiology May 2024Human factors engineering involves the study and development of methods aimed at enhancing performance, improving safety, and optimizing user satisfaction. The focus of... (Review)
Review
Human factors engineering involves the study and development of methods aimed at enhancing performance, improving safety, and optimizing user satisfaction. The focus of human factors engineering encompasses the design of work environments and an understanding of human mental processes to prevent errors. In this review, we summarize the history, applications, and impacts of human factors engineering on the healthcare field. To illustrate these applications and impacts, we provide several examples of how successful integration of a human factors engineer in our pediatric radiology department has positively impacted various projects. The successful integration of human factors engineering expertise has contributed to projects including improving response times for portable radiography requests, deploying COVID-19 response resources, informing the redesign of scheduling workflows, and implementation of a virtual ergonomics program for remote workers. In sum, the integration of human factors engineering insight into our department has resulted in tangible benefits and has also positioned us as proactive contributors to broader hospital-wide improvements.
Topics: Ergonomics; Humans; Pediatrics; Radiology Department, Hospital; Radiology; COVID-19; SARS-CoV-2
PubMed: 38483592
DOI: 10.1007/s00247-024-05903-x -
AJR. American Journal of Roentgenology Sep 2013In this article, we describe some of the cognitive and system-based sources of detection and interpretation errors in diagnostic radiology and discuss potential... (Review)
Review
OBJECTIVE
In this article, we describe some of the cognitive and system-based sources of detection and interpretation errors in diagnostic radiology and discuss potential approaches to help reduce misdiagnoses.
CONCLUSION
Every radiologist worries about missing a diagnosis or giving a false-positive reading. The retrospective error rate among radiologic examinations is approximately 30%, with real-time errors in daily radiology practice averaging 3-5%. Nearly 75% of all medical malpractice claims against radiologists are related to diagnostic errors. As medical reimbursement trends downward, radiologists attempt to compensate by undertaking additional responsibilities to increase productivity. The increased workload, rising quality expectations, cognitive biases, and poor system factors all contribute to diagnostic errors in radiology. Diagnostic errors are underrecognized and underappreciated in radiology practice. This is due to the inability to obtain reliable national estimates of the impact, the difficulty in evaluating effectiveness of potential interventions, and the poor response to systemwide solutions. Most of our clinical work is executed through type 1 processes to minimize cost, anxiety, and delay; however, type 1 processes are also vulnerable to errors. Instead of trying to completely eliminate cognitive shortcuts that serve us well most of the time, becoming aware of common biases and using metacognitive strategies to mitigate the effects have the potential to create sustainable improvement in diagnostic errors.
Topics: Cognition; Diagnosis, Computer-Assisted; Diagnostic Errors; Fatigue; Humans; Peer Review; Radiology; Risk Factors; Workload
PubMed: 23971454
DOI: 10.2214/AJR.12.10375