Results 231 to 240 of about 238,473 (331)

"Patients refuse my clinical nursing procedures"-a qualitative study in China. [PDF]

BMC Nurs
Liu X, Lyu Y, Zhang Q, Huang L, Zhuang Y.   +4 more
europepmc   +1 more source

Using Convolutional Neural Networks for the Classification of Suboptimal Chest Radiographs

Journal of Medical Radiation Sciences, EarlyView.
This study evaluated DenseNet121 and YOLOv8 neural networks in detecting suboptimal chest x‐rays for quality control. Through training, validation, and testing, both AI models effectively classified chest X‐ray quality, highlighting the potential to provide radiographers with feedback to enhance image quality.
Emily Huanke Liu, Daniel Carrion, Mohamed Khaldoun Badawy   +2 more
wiley   +1 more source

Alarm fatigue and its association with perceived stress, resilience, and coping behaviors among Palestinian nursing students during clinical internship in critical care units: a cross-sectional study. [PDF]

BMC Psychol
Salameh B, Abdallah J, Malak MZ, Shehadeh A, Hammad B.   +4 more
europepmc   +1 more source

Standardised Request and Contrast Consent Forms to Enhance Clinical Learning in Radiography Education

Journal of Medical Radiation Sciences, EarlyView.
This study developed standardised Medical Imaging Suite (MIS) request and contrast consent forms, modelled on real‐world documentation, to enhance student learning in diagnostic radiography education. By analysing forms from n = 25 medical imaging providers, key fields were identified and incorporated into authentic teaching resources, intended for use
Don J. Nocum, Dania Abu Awwad, Warren Reed   +2 more
wiley   +1 more source

Bridging academia and industry: advancing systems biology and QSP education through AstraZeneca's collaborative partnerships. [PDF]

Front Syst Biol
Pichardo-Almarza C, Kimko H.
europepmc   +1 more source

Case studies to enhance graduate employability: Careers services [PDF]

, 2015
Crane, Linda H, Dowling, David, Judd, Madelaine-Marie, Kinash, Shelley, Knight, Cecily, Lovell, Caroline, McLean, Matthew, Mitchell, Kirsty, Schwerdt, Rosalind   +8 more
core  

Artificial Intelligence for Radiographic Image Quality: Radiographers at the Forefront

Journal of Medical Radiation Sciences, EarlyView.
This editorial highlights the central role of radiographers in leading AI‐driven radiographic image‐quality assessment. It outlines how AI can enhance real‐time feedback, support consistency, and strengthen safe, patient‐centered imaging practice.
Kamarul Amin Abdullah
wiley   +1 more source

Comparison of students' satisfaction levels in different dentistry faculties in Türkiye. [PDF]

BMC Med Educ
Acar NK, Sahin N, Celikel P.
europepmc   +1 more source

Enhancing medical imaging education: integrating computing technologies, digital image processing and artificial intelligence

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 148-155, March 2025.
This paper has proposed a comprehensive curriculum framework that integrates computing technologies, digital image processing and artificial intelligence into medical imaging education, aiming to prepare future professionals to navigate and innovate within this dynamic landscape.
Sibusiso Mdletshe, Alan Wang
wiley   +1 more source

Ten simple rules for maximizing summer research experiences for students, mentors, and research groups. [PDF]

PLoS Comput Biol
Goodman MB.
europepmc   +1 more source