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Tenzin Dadul – Online Submission, 2024
Purpose: This qualitative study aimed to explore the perceptions of radiology leaders in Midwest dental schools regarding the integration of Cone Beam Computed Tomography (CBCT) education into pre-doctoral curricula. The objectives included identifying barriers and facilitators to the incorporation of CBCT education, assessing its necessity for…
Descriptors: Medical Education, Radiology, Dentistry, Dental Schools
J. Staal; K. Katarya; M. Speelman; R. Brand; J. Alsma; J. Sloane; W. W. Van den Broek; L. Zwaan – Advances in Health Sciences Education, 2024
Diagnostic errors are a major, largely preventable, patient safety concern. Error interventions cannot feasibly be implemented for every patient that is seen. To identify cases at high risk of error, clinicians should have a good calibration between their perceived and actual accuracy. This experiment studied the impact of feedback on medical…
Descriptors: Performance, Feedback (Response), Medical Students, Graduate Medical Education
Steven Patrick Wightkin – ProQuest LLC, 2024
Background: Laparoscopic cholecystectomy (LC) is one of the most frequently performed surgical procedures worldwide with occasional serious complications, including bile duct injuries, that may reflect surgeon misperception, rather than errors of skill and knowledge. Intraoperative cholangiography (IOC) is an imaging procedure that may prevent or…
Descriptors: Medical Education, Medical Students, Perceptual Motor Learning, Surgery
Kunar, Melina A. – Cognitive Research: Principles and Implications, 2022
People miss a high proportion of targets that only appear rarely. This low prevalence (LP) effect has implications for applied search tasks such as the clinical reading of mammograms. Computer aided detection (CAD) has been used to help radiologists search mammograms by highlighting areas likely to contain a cancer. Previous research has found a…
Descriptors: Incidence, Screening Tests, Cancer, Radiology
Zhang, Hanshu; Hung, Shen-Wu; Chen, Yu-Pin; Ku, Jan-Wen; Tseng, Philip; Lu, Yueh-Hsun; Yang, Cheng-Ta – Cognitive Research: Principles and Implications, 2023
Despite numerous investigations of the prevalence effect on medical image perception, little research has been done to examine the effect of expertise, and its possible interaction with prevalence. In this study, medical practitioners were instructed to detect the presence of hip fracture in 50 X-ray images with either high prevalence (N[subscript…
Descriptors: Radiology, Human Body, Injuries, Medical Evaluation
Santos, Glaucia Nize Martins; da Silva, Helbert Eustáquio Cardoso; Figueiredo, Paulo Tadeu de Souza; Mesquita, Carla Ruffeil Moreira; Melo, Nilce Santos; Stefani, Cristine Miron; Leite, André Ferreira – International Journal of Artificial Intelligence in Education, 2023
Background: Artificial intelligence (AI) is able to emulate human performance on a task and may improve the radiologists' work. This text and opinion review explored the implementation of AI in diagnostic radiology education curricula at pre-licensure training/education in healthcare. The question was: what are the pedagogical possibilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Clinical Diagnosis, Radiology
Eder, Thésése F.; Richter, Juliane; Scheiter, Katharina; Huettig, Fabian; Keutel, Constanze – Applied Cognitive Psychology, 2021
Dental students commit many errors when diagnosing radiographs. To improve performance, students were asked to compare radiographs (with and without disease or with the same disease); relevant structures were highlighted in the radiographs. In a crossover design, students were randomly assigned to two groups differing in training order: Students…
Descriptors: Dentistry, Graduate Students, Clinical Diagnosis, Radiology
Rosby, Lucy Victoria; Rotgans, Jerome I.; Tan, Gerald Jit Shen; Low-Beer, Naomi; Mamede, Silvia; Zwaan, Laura; Schmidt, Henk G. – AERA Online Paper Repository, 2020
Knowledge transfer is a key goal of learning, which this study aimed to investigate using an online training exercise for chest X-ray diagnosis. Junior medical students were trained to recognise the features of chest X-ray conditions and asked to provide diagnoses on these images and other unseen images to test for knowledge transfer. Transfer was…
Descriptors: Transfer of Training, Online Courses, Radiology, Medical Students
Eder, Thérése F.; Richter, Juliane; Scheiter, Katharina; Keutel, Constanze; Castner, Nora; Kasneci, Enkelejda; Huettig, Fabian – Advances in Health Sciences Education, 2021
In dental medicine, interpreting radiographs (i.e., orthopantomograms, OPTs) is an error-prone process, even in experts. Effective intervention methods are therefore needed to support students in improving their image reading skills for OPTs. To this end, we developed a compare-and-contrast intervention, which aimed at supporting students in…
Descriptors: Dentistry, Medical Education, Radiology, Clinical Diagnosis
Rosby, Lucy V.; Schmidt, Henk G.; Tan, Gerald J. S.; Low-Beer, Naomi; Mamede, Silvia; Zwaan, Laura; Rotgans, Jerome I. – Advances in Health Sciences Education, 2021
It was recently shown that novice medical students could be trained to demonstrate the speed-to-diagnosis and diagnostic accuracy typical of System-1-type reasoning. However, the effectiveness of this training can only be fully evaluated when considering the extent to which knowledge transfer and long-term retention occur as a result, the former…
Descriptors: Transfer of Training, Retention (Psychology), Electronic Learning, Instructional Effectiveness
Branch, Fallon; Williams, K. Matthew; Santana, Isabella Noel; Hegdé, Jay – Cognitive Research: Principles and Implications, 2022
Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly. We tested this possibility using screening mammography as an illustrative example. We carried out two experiments, one using 28…
Descriptors: Radiology, Allied Health Personnel, Assistive Technology, Clinical Diagnosis
Manassi, Mauro; Ghirardo, Cristina; Canas-Bajo, Teresa; Ren, Zhihang; Prinzmetal, William; Whitney, David – Cognitive Research: Principles and Implications, 2021
In radiological screening, clinicians scan myriads of radiographs with the intent of recognizing and differentiating lesions. Even though they are trained experts, radiologists' human search engines are not perfect: average daily error rates are estimated around 3-5%. A main underlying assumption in radiological screening is that visual search on…
Descriptors: Radiology, Allied Health Personnel, Error Patterns, Screening Tests
van Montfort, Dorien; Kok, Ellen; Vincken, Koen; van der Schaaf, Marieke; van der Gijp, Anouk; Ravesloot, Cécile; Rutgers, Dirk – Advances in Health Sciences Education, 2021
The current study used theories on expertise development (the holistic model of image perception and the information reduction hypothesis) as a starting point to identify and explore potentially relevant process measures to monitor and evaluate expertise development in radiology residency training. It is the first to examine expertise development…
Descriptors: Radiology, Graduate Students, Medical Students, Expertise
Yoon, Jong-Sung; Boutis, Kathy; Pecaric, Martin R.; Fefferman, Nancy R.; Ericsson, K. Anders; Pusic, Martin V. – Advances in Health Sciences Education, 2020
Models for diagnostic reasoning in radiology have been based on the observed behaviors of experienced radiologists but have not directly focused on the thought processes of novices as they improve their accuracy of image interpretation. By collecting think-aloud verbal reports, the current study was designed to investigate differences in specific…
Descriptors: Radiology, Clinical Diagnosis, Allied Health Personnel, Protocol Analysis
Edwards, Ann; Holm, Alison; Carding, Paul; Steele, Michael; Froude, Elspeth; Burns, Clare; Cardell, Elizabeth – International Journal of Language & Communication Disorders, 2023
Background: Perceptual, cognitive and previous clinical experience may influence a novice Videofluoroscopic Swallowing Study (VFSS) analyst's trajectory towards competency. Understanding these factors may allow trainees to be better prepared for VFSS training and may allow training to be developed to accommodate differences between trainees. Aims:…
Descriptors: Speech Language Pathology, Competence, Skill Development, Human Body