Search Articles

View query in Help articles search

Search Results (1 to 6 of 6 Results)

Download search results: CSV END BibTex RIS


Exploring Curriculum Considerations to Prepare Future Radiographers for an AI-Assisted Health Care Environment: Protocol for Scoping Review

Exploring Curriculum Considerations to Prepare Future Radiographers for an AI-Assisted Health Care Environment: Protocol for Scoping Review

The increasing integration of AI technologies in radiography practice raises significant questions about the influences of AI technology on radiography practice and the subsequent ways in which radiography education may be required to change. Recent reviews have explored AI’s current and potential applications in radiography practice [5] and examined the AI educational programs available to radiography staff globally [1].

Chamandra Kammies, Elize Archer, Penelope Engel-Hills, Mariette Volschenk

JMIR Res Protoc 2025;14:e60431

Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study

Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study

Chest radiography (CXR) is not recommended for confirmation of diagnosis or assessment of COVID-19 severity [4]. Most studies have developed prognosis prediction models using clinical information and chest computed tomography (CT) scans [5,6]. However, with the high volume of patients during the pandemic, CXR is used more widely than chest CT because of its rapid speed, better portability, and lower cost [7,8]. Additionally, the role of CXR has been reexamined using advanced deep learning (DL) techniques.

Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo

J Med Internet Res 2023;25:e42717

Pulmonary Screening Practices of Otolaryngology–Head and Neck Surgeons Across Saudi Arabia in the Posttreatment Surveillance of Squamous Cell Carcinoma: Cross-sectional Survey Study

Pulmonary Screening Practices of Otolaryngology–Head and Neck Surgeons Across Saudi Arabia in the Posttreatment Surveillance of Squamous Cell Carcinoma: Cross-sectional Survey Study

In a previous study that was conducted by otolaryngology–head and neck surgeons, 26 out of 32 participants performed routine pulmonary screening, and of these 26 participants, 23 (88%) believed that chest radiography should be the preferred screening method. Most participants thought that mortality could be beneficially affected by lung screening. The most preferred modality for screening symptomatic patients was low-dose spiral CT (48%), followed by PET/CT (14%) and sputum cytology (14%).

Majed Alnefaie, Abdullah Alamri, Asalh Saeedi, Awwadh Althobaiti, Shahad Alosaimi, Yousuf Alqurashi, Hani Marzouki, Mazin Merdad

Interact J Med Res 2022;11(1):e24592