Results 131 to 140 of about 40,588 (294)

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI

Journal of Medical Radiation Sciences, EarlyView.
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau, Haydn Kerr, Clare L. Singh, Bismark Ofori‐Manteaw, Elio Arruzza, Kelly Bentley‐Spuur   +5 more
wiley   +1 more source

Computer models for the design and optimization of a linear slot scanning mammography system

, 2008
Includes abstract. Includes bibliographical references (p. 143-151)
Hussein, Khalid Ibrahim
core  

Quality comparison of direct digital panoramic radiography and computed radiography panoramic [PDF]

, 2015
BACKGROUND AND AIM: Digital panoramic X-ray images can be captured using photostimulable phosphors or solidstate detectors (i.e. charge-coupled devices and Flat-Panels).
Purtaji, Bahareh, Motaghi, Reza, Goodarzipour, Dariush   +2 more
core  

A Study to Investigate Ghanaian Radiography Students' Proficiency, Experiences, Confidence, and Knowledge Concerning Communication With Hearing‐Impaired Patients

Journal of Medical Radiation Sciences, EarlyView.
This study investigated undergraduate Ghanaian radiography students' proficiency, experiences, confidence, and knowledge with regard to communicating with hearing‐impaired patients. It was found that although most students had some knowledge about effective communication strategies to be used with hearing‐impaired patients, their confidence levels were
Seth Kwadjo Angmorterh, Mariella Mawunyo Amoussou‐Gohoungo, Jerry Korley, Adam Inusah, Olawale Ogundiran, Sonia Aboagye, Patience Nyamekye Agyemang, Nathaniel Awentiirin Angaag, Wise Tsivanyo, Octavia Nyamekye Adjoa Amoabeng, Godfred Adusei, Jennifer Bannerman‐Williams, Nii Korley Kortei, Riaan van de Venter   +13 more
wiley   +1 more source

Chest X‐Ray Imaging Algorithms for Optimising the Visualisation of Medical Lines and Tubes: A Study With Student Radiographers

Journal of Medical Radiation Sciences, EarlyView.
Imaging post‐processing algorithms are helpful in improving the visibility of chest lines and tubes on standard chest X‐rays. Examples include the advanced edge enhancement and grey‐scale inversion, and this study evaluates the usefulness of these algorithms for enhancing visual image quality and reader confidence among student radiographers.
Vanessa Pui, John Robinson, Amanda Punch, Don Nocum, Dania Abu Awwad   +4 more
wiley   +1 more source

Radiation Dose Optimisation Through Artificial Intelligence (AI)‐based Auto‐Thorax Collimation

Journal of Medical Radiation Sciences, EarlyView.
This study evaluated AI‐based Auto‐Thorax Collimation (ATC) for radiation dose optimisation in posteroanterior chest radiography compared with manual collimation. ATC demonstrated tighter lateral collimation and reduced inter‐operator variability while maintaining comparable repeat rates.
Derek (Yoon‐Sang) Lee, Nicole Chan, Richard Knight, Christopher Hayre   +3 more
wiley   +1 more source

Digital radiography [PDF]

British Dental Journal, 2008
Penelope Allisy-Roberts, Jerry Williams
openaire   +2 more sources

Australia's Three System Approach to Mammographic Image Quality Assessment

Journal of Medical Radiation Sciences, EarlyView.
Mammographic image evaluation in Australia remains constrained by the use of fragmented, subjective, and largely unevaluated systems. The continued use of the Perfect (P), Good (G), Moderate (M), Inadequate (I) (PGMI) image evaluation system (IES) framework despite concerns around its validity and reliability reflects a perceived practical utility and ...
Kelly Bentley‐Spuur, Minh T. Chau
wiley   +1 more source

Digital radiography in studies of the skeleton

, 1994
Different techniques for digital or computed radiography are described: spot-beam and slot-beam scanners, film emulsions, large-fleld image intensifiers.
L. Pietrogrande, M. Blanc, F. Gattoni, L. Castellana, C. Pozzato, C. Uslenghi   +5 more
core  

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source