Results 231 to 240 of about 5,651,580 (291)

Comparison of machine learning methods for prediction of venous thromboembolism among hospitalized adults

Journal of Hospital Medicine, EarlyView.
Abstract Background Hospital‐acquired venous thromboembolism (HA‐VTE) is a significant cause of morbidity and mortality among hospitalized adults. Accurate prediction of HA‐VTE is crucial for timely intervention and prevention. While logistic regression is widely used for the development of clinical prediction models, there is ongoing interest in the ...
Yeji Ko, Benjamin French, Jonathan S. Schildcrout, Merna El‐Rifai, Adam Wright, Benjamin F. Tillman, Amanda S. Mixon, Henry J. Domenico   +7 more
wiley   +1 more source

Comparison of Point Cloud Registration Techniques on Scanned Physical Objects. [PDF]

Sensors (Basel)
Denayer M, De Winter J, Bernardes E, Vanderborght B, Verstraten T.   +4 more
europepmc   +1 more source

Approaches to Computed Tomography Education for Radiography Students

Journal of Medical Radiation Sciences, EarlyView.
The aim of this narrative review was to explore the current published literature relating to CT teaching methods and assessment of diagnostic radiography students during university training. Existing CT education evaluations focus on student satisfaction and usability of tools, with post‐lesson knowledge gains reported. Future work should shift towards
Yobelli Alexandra Jimenez, Frances Gray, Minh Chau, Franziska Jerjen, Adrian Repole, Dania Abu Awwad   +5 more
wiley   +1 more source

3D Printing a Clinically Available Solution From Plaster‐Based Positives in Superficial Radiation Therapy

Journal of Medical Radiation Sciences, EarlyView.
This study compares two techniques for creating lead shielding masks to replace the current process for superficial/orthovoltage facial radiotherapy: Plaster Cast Positive Mould (PCPM), CT Scanned 3D Print (CT3DP), and Optical Scan 3D Print (OS3DP). CT3DP was found to be more accurate and preferred over OS3DP.
Rory Hartley, Linda Bell, Toby Lowe, Jeremy Booth, Sarah Bergamin, Dasantha Jayamanne, Ryan Brown   +6 more
wiley   +1 more source

Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation. [PDF]

Sensors (Basel)
Kang C, Geng C, Lin Z, Zhang S, Zhang S, Wang S.   +5 more
europepmc   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

International Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque, Francis Da Silva Lopes, Julian Alberto Giles, Benjamin D. Gutknecht, Bernd Schalge, Yikui Zhang, Marco Ferro, Petra Friederichs, Klaus Goergen, Stefan Poll, Arianna Valmassoi   +10 more
wiley   +1 more source

Consuming heat‐inactivated Lactiplantibacillus pentosus ONRICb0240‐containing postbiotics reduces gingival inflammation: A double‐blind randomized clinical trial

Journal of Periodontology, EarlyView.
Abstract Background Periodontal disease affects people globally, requiring approaches to halt progression at the gingivitis stage. Researchers have investigated live probiotics; we studied the effect of a heat‐inactivated preparation (postbiotic) of Lactiplantibacillus pentosus ONRICb0240 on gingival inflammation.
Anhao Liu, Megumi Ishiguro, Yasuhiro Matsumura, Kyungtak Kwak, Seiichi Shimizu, Keiko Watabe, Hirotaka Nagashima, Shogo Maekawa, Takanori Iwata   +8 more
wiley   +1 more source

Respiratory motion tracking of the thoracoabdominal surface based on defect-aware point cloud registration. [PDF]

Biomed Eng Lett
Wang X, Liu T, Mai S.
europepmc   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

Journal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho, Daniel Cruz Cavalieri, Adilson Ribeiro Prado   +2 more
wiley   +1 more source

HALNet: Partial Point Cloud Registration Based on Hybrid Attention and Deep Local Features. [PDF]

Sensors (Basel)
Wang D, Hao H, Zhang J.
europepmc   +1 more source