Results 191 to 200 of about 60,523 (305)

Analysis of Upper Airway Morphology Using Four‐Dimensional Dynamic MRI With Active Deep Learning‐Based Automatic Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Upper‐airway morphology changes during breathing can be captured with cine 4D MRI. Active‐learning nnU‐Net reduces manual labeling while maintaining accuracy. Purpose For automatic upper airway segmentation on free‐breathing cine 4D MRI using active learning and quantifying dynamic changes under two mouth positions.
Cheng‐Yang Yu, Meng‐Chen Chung, Yunn‐Jy Chen, Han‐Wei Wang, Jonathan X. Zhou, Shih‐Lung Chen, Kevin T. Chen, Tiffany Ting‐Fang Shih   +7 more
wiley   +1 more source

Machine learning algorithms enhance the accuracy of radiographic diagnosis of dental caries: a comparative study. [PDF]

Dentomaxillofac Radiol
Hegde S, Gao J, Cox S, Nanayakkara S, Logothetis R, Vasa R.   +5 more
europepmc   +1 more source

Diagnostic imaging of the stifle joint [PDF]

, 2014
Gielen, Ingrid
core   +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

Assessment of marginal bone loss, distal caries, and external root resorption in second molars adjacent to impacted third molars: a retrospective CBCT and panoramic study. [PDF]

BMC Oral Health
Abat VH, Keser G, Yülek H, Gencoglu N, Namdar Pekiner F.   +4 more
europepmc   +1 more source

Radiation Risk in 2D Mammography Screening: A Scoping Review of Modelling Strategies and Emerging AI Applications

Journal of Medical Radiation Sciences, EarlyView.
This scoping review examined models estimating long‐term radiation risks from repeated mammography screening. While modelling indicates the risks are low, approaches vary by protocol and vendor. Emerging AI tools show promise for improving personalised risk estimation, though further development is needed for cross‐platform compatibility.
Nazli A. Moda, Mo'ayyad E. Suleiman, Sahand Hooshmand, Warren M. Reed   +3 more
wiley   +1 more source

Imaging pathways in spondyloarthritis: integrating radiography, ultrasonography, magnetic resonance imaging, low-dose computed tomography, and artificial intelligence methods : Radiology and AI in SpA. [PDF]

Rheumatol Int
Morytko MZ, Matusik PS, Wawrzyniak R, Popiela TJ.   +3 more
europepmc   +1 more source

Patient Dose Optimisation of Abdominopelvic Protocols During X‐Ray Imaging

Journal of Medical Radiation Sciences, EarlyView.
This study evaluates organ doses in abdominopelvic radiography for both erect and supine positions, addressing dose optimisation concerns in Ghana. Using CalDose X and thermoluminescence dosimeters, organ doses and image quality were analysed, revealing significant dose reductions with optimised exposure parameters (70 kVp, 10 mAs, 110 cm FDD).
Emmanuel Ekem‐Ferguson, Shirazu Issahaku, Mark Pokoo‐Aikins, Mary Boadu   +3 more
wiley   +1 more source

Computer Vision in Upper Limb Orthopaedics: A Scoping Review of Imaging-Based Algorithms for Fracture Detection and Radiographic Measurement. [PDF]

Cureus
Akram N, Qaddoura B, Karimaghaei D, Mattoo S, Al-Jumaili A, Radha S.   +5 more
europepmc   +1 more source

Experiences of Diagnostic Radiography Students With Workplace‐Based and Online Learning During the COVID‐19 Pandemic: A Study Across Four Higher Education Institutions in South Africa

Journal of Medical Radiation Sciences, EarlyView.
This study explored diagnostic radiography students' learning experiences during COVID‐19 across four South African Higher Education Institutions. Themes included challenges with clinical placements, PPE and online learning, as well as inclusive learning enablers. Findings inform strategies to support students during future crises.
Siyabonga Goodwill Hadebe, Amina Hajat, Lynne Janette Hazell   +2 more
wiley   +1 more source