Results 111 to 120 of about 4,266 (248)

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement

Journal of Periodontology, EarlyView.
Abstract Background Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly on a clinician's experience and knowledge. This study aimed to develop a deep learning‐based online platform that aids clinicians in diagnosing periodontitis based on periapical radiographs and to ...
Chun‐Teh Lee, Tanjida Kabir, Alaa Alsaffar, Jiman Nelson, Sally Sheng, Hsiu‐Wan Meng, Mohammad Qali, Muhammad F. Walji, Xiaoqian Jiang, Shayan Shams   +9 more
wiley   +1 more source

Effect of different light‐emitting diodes on vegetative cannabis growth and antioxidant activity

JSFA reports, EarlyView.
Abstract Background Cannabis stands as one of the world's oldest plant sources for food and textile fiber. The study aimed to assess the impact of white LED (blue; 446 nm + amber; 595 nm + red; 653 nm), wide PC amber (595 nm), narrow amber (595 nm) + royal blue (430 nm) (NA + RB), and narrow amber (595 nm) + royal blue (430 nm) + cyan blue (485 nm) (NA 
Zohreh Poudineh, Philip Wiredu Addo, Vincent Desaulniers Brousseau, Anne‐Sophie Rufyikiri, Sarah MacPherson, Valérie Orsat, Mark Lefsrud   +6 more
wiley   +1 more source

Comparison of 3‐Dimensional Ultrasound and Computed Tomography for Imaging of Abdominal Aortic Aneurysms

Journal of Ultrasound in Medicine, EarlyView.
Objectives Three‐dimensional ultrasound (3D US) is emerging as a novel imaging method for abdominal aortic aneurysms (AAAs) as it creates a low‐cost 3D AAA overview without harmful radiation and nephrotoxic contrast agents, as opposed to conventional imaging. 3D US can be used with a non‐nephrotoxic contrast agent (3D‐CEUS) for lumen delineation.
Rianne E. van Rijswijk, Suzan R.T. Everink, Heleen S. van Nie, Jelmer M. Wolterink, Michel M.P.J. Reijnen, Erik Groot Jebbink   +5 more
wiley   +1 more source

The Bazaar as a Model for Knowledge Work

Knowledge and Process Management, EarlyView.
ABSTRACT This paper presents fieldwork that extends existing metaphors of knowledge work as a process shaped by hierarchical or market forces. A qualitative, ethnographic study of six knowledge‐intensive businesses in two countries identifies striking parallels with the Middle Eastern bazaar in contrast to Western impersonal markets and hierarchies. We
Reed Elliot Nelson, Andrew B. Hargadon, José Osvaldo De Sordi   +2 more
wiley   +1 more source

Advanced systems for intraoperative cartilage evaluation and treatment demonstrate early feasibility and a shift towards integrating artificial intelligence: A scoping review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To review the current literature evaluating AI and advanced technologies for intraoperative cartilage management. Methods A comprehensive search of PubMed, Embase, and Scopus was conducted in March 2026 according to PRISMA guidelines.
Logan D. Moews, Samuel A. Alfonsi, Volker Musahl, Michael T. Hirschmann, Brian J. Cole, Jorge Chahla, Kyle N. Kunze   +6 more
wiley   +1 more source

Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation

The Laryngoscope, EarlyView.
A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Ashley Micuda, Kyle Rioux, Luke Helpard, Munir Demir Bajin, Zahra Kassam, Sachin Pandey, Jaehyun Hwang, Griselda T. Romero‐Sanchez, Manas Sharma, Lorne S. Parnes, Hanif M. Ladak, Sumit K. Agrawal   +11 more
wiley   +1 more source

Land Use and Land Cover Analysis for Solid Waste Management in NCT Delhi Using Fusion Aware Segformer

Land Degradation &Development, EarlyView.
ABSTRACT The use of Land Use Land Cover (LULC) analysis is a fundamental requirement for urban solid waste management (SWM); however, conventional LULC analysis methods are not well suited to the spatio‐temporal variability, multi‐sensor heterogeneity, and seasonal variations of highly dynamic urban environments.
Rubeena Vohra, Ashish Kumar
wiley   +1 more source

A multimodal imaging dataset for quality grading of Canadian wild rice kernels using RGB and VNIR hyperspectral data. [PDF]

Data Brief
Sikiru Y, Erkinbaev C.
europepmc   +1 more source

Real‐Time Targeted Slice Reacquisition for Motion‐Corrupted Fetal Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and evaluate a real‐time framework for targeted slice‐level reacquisition in fetal diffusion MRI. Methods A DW‐SE‐EPI sequence was modified to support independent diffusion preparation per slice. A pathology‐robust nnU‐Net segmentation network, updated from a previously published baseline (V1) using pathological fetal cases ...
Jordina Aviles Verdera, Sara Neves Silva, Susanne Schulz‐Heise, Sarah McElroy, Mary Rutherford, Joseph V. Hajnal, Raphael Tomi‐Tricot, Jana Hutter   +7 more
wiley   +1 more source

Advancing the Volumetric Analysis of Ultra‐Low‐Field Brain MRI Using Image‐to‐Image Translation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI offers a promising path to accessible neuroimaging, with potential to address global healthcare disparities and advance population‐level brain health research. However, the inherently low signal‐to‐noise ratio (SNR), reduced spatial resolution, and altered tissue contrasts relative to conventional high‐field ...
Peter Hsu, Elisa Marchetto, Patricia M. Johnson, Jelle Veraart   +3 more
wiley   +1 more source