Gamification in Radiology Training Module Developed During the Society for Imaging Informatics in Medicine Annual Meeting Hackathon

Staziaki, Pedro V.; Santinha, João; Coelho, Marcelo O; Angulo, Diego; Hussain, Mohannad; Folio, Les

doi:10.1007/s10278-022-00603-0

Cited by 7 publications

(18 citation statements)

References 8 publications

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“…Also, they were undergraduates, postgraduates, residents, and post-docs. Ten interventions (45.4%) were designed for physicians [ 13 , 19 , 21 , 24 – 26 , 28 , 29 , 33 , 35 ]. Their field of practice was reported diverse including psychology, radiology, surgery, and in some cases not specified.…”

Section: Resultsmentioning

confidence: 99%

“…Their field of practice was reported diverse including psychology, radiology, surgery, and in some cases not specified. Eight (36.3%) studies focused on staff which included healthcare staff, employees of the university, nurses, care experts, and public health specialists [ 13 , 22 , 26 , 28 – 30 , 32 , 35 ]. Interestingly, nine of the hacking in HPE interventions (40.9%) welcomed specialists from other fields outside of health sciences and medicine [ 13 , 19 , 22 , 25 , 26 , 28 , 29 , 33 , 35 ].…”

Section: Resultsmentioning

confidence: 99%

“…Eight (36.3%) studies focused on staff which included healthcare staff, employees of the university, nurses, care experts, and public health specialists [ 13 , 22 , 26 , 28 – 30 , 32 , 35 ]. Interestingly, nine of the hacking in HPE interventions (40.9%) welcomed specialists from other fields outside of health sciences and medicine [ 13 , 19 , 22 , 25 , 26 , 28 , 29 , 33 , 35 ]. Their field of practice was very diverse including engineers, theologians, artists, entrepreneurs, designers, informaticists, IT professionals, business professionals, industry members, data scientists, and user interface designers.…”

Section: Resultsmentioning

confidence: 99%

“…The half of interventions aimed to improve HPE (12 studies, 54.5%) [ 7 , 13 , 21 , 23 , 24 , 26 , 28 , 30 – 32 , 34 , 38 ], with a secondary emphasis on enhancing clinical or health care [ 19 , 22 , 25 , 29 , 33 , 35 – 37 ]. Two studies highlighted the improvement in entrepreneurship skills of health professions [ 19 , 20 ].…”

Section: Resultsmentioning

confidence: 99%

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Health profession education hackathons: a scoping review of current trends and best practices

Rooholamini,

Salajegheh

2024

BMC Med Educ

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Background While the concept of hacking in education has gained traction in recent years, there is still much uncertainty surrounding this approach. As such, this scoping review seeks to provide a detailed overview of the existing literature on hacking in health profession education and to explore what we know (and do not know) about this emerging trend. Methods This was a scoping review study using specific keywords conducted on 8 databases (PubMed, Embase, Scopus, Web of Science, ERIC, PsycINFO, Education Source, CINAHL) with no time limitation. To find additional relevant studies, we conducted a forward and backward searching strategy by checking the reference lists and citations of the included articles. Studies reporting the concept and application of hacking in education and those articles published in English were included. Titles, abstracts, and full texts were screened and the data were extracted by 2 authors. Results Twenty-two articles were included. The findings are organized into two main categories, including (a) a Description of the interventions and expected outcomes and (b) Aspects of hacking in health profession education. Conclusion Hacking in health profession education refers to a positive application that has not been explored before as discovering creative and innovative solutions to enhance teaching and learning. This includes implementing new instructional methods, fostering collaboration, and critical thinking to utilize unconventional approaches.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Health profession education hackathons: a scoping review of current trends and best practices

Rooholamini,

Salajegheh

2024

BMC Med Educ

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“…Of note, the publicly available annotation data in the standard JSON format could serve as ground truth or comparison data in future studies and hackathons, as was carried out recently with a similar set [8].…”

Section: Annotations Of Lung Abnormalities For Tb Patients In Shenzhe...mentioning

confidence: 99%

Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases

Yang

Deng

et al. 2022

Data

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Developments in deep learning techniques have led to significant advances in automated abnormality detection in radiological images and paved the way for their potential use in computer-aided diagnosis (CAD) systems. However, the development of CAD systems for pulmonary tuberculosis (TB) diagnosis is hampered by the lack of training data that is of good visual and diagnostic quality, of sufficient size, variety, and, where relevant, containing fine-region annotations. This study presents a collection of annotations/segmentations of pulmonary radiological manifestations that are consistent with TB in the publicly available and widely used Shenzhen chest X-ray (CXR) dataset made available by the U.S. National Library of Medicine and obtained via a research collaboration with No. 3. People’s Hospital Shenzhen, China. The goal of releasing these annotations is to advance the state of the art for image segmentation methods toward improving the performance of the fine-grained segmentation of TB-consistent findings in digital chest X-ray images. The annotation collection comprises the following: (1) annotation files in JavaScript Object Notation (JSON) format that indicate locations and shapes of 19 lung pattern abnormalities for 336 TB patients; (2) mask files saved in PNG format for each abnormality per TB patient; and (3) a comma-separated values (CSV) file that summarizes lung abnormality types and numbers per TB patient. To the best of our knowledge, this is the first collection of pixel-level annotations of TB-consistent findings in CXRs.

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Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation

et al. 2022

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Gamification in Radiology Training Module Developed During the Society for Imaging Informatics in Medicine Annual Meeting Hackathon

Cited by 7 publications

References 8 publications

Health profession education hackathons: a scoping review of current trends and best practices

Health profession education hackathons: a scoping review of current trends and best practices

Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases

Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation

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