The mediating role of learning motivation in the relationship among perceived stress and emotional regulation among Saudi nursing students in clinical practice
Nursing students often face high levels of stress due to demanding responsibilities during clinical placement. Emotional regulation, the ability to manage and regulate one ’s emotions effectively, is crucial fo... (Source: BMC Nursing)
Source: BMC Nursing - April 16, 2024 Category: Nursing Authors: Bander Saad Albagawi, Yasir S. Alsalamah, Abdulqadir J. Nashwan, Rakan Mansuor AL Rawili, Lisa A. Babkair, Sara A. Alkharji, Thamer Alslamah and Mirna Fawaz Tags: Research Source Type: research
Comparison of Machine Learning Models Using Diffusion-Weighted Images for Pathological Grade of Intrahepatic Mass-Forming Cholangiocarcinoma
The objective of our study is to develop DWI radiomic models based on different machine learning algorithms and identify the optimal prediction model. We undertook a retrospective analysis of the DWI data of 77 patients with IMCC confirmed by pathological testing. Fifty-seven patients initially included in the study were randomly assigned to either the training set or the validation set in a ratio of 7:3. We established four different classifier models, namely random forest (RF), support vector machines (SVM), logistic regression (LR), and gradient boosting decision tree (GBDT), by manually contouring the region of interes...
Source: Journal of Digital Imaging - April 16, 2024 Category: Radiology Source Type: research
Medical image foundation models in assisting diagnosis of brain tumors: a pilot study
ConclusionsFoundation models obtained from self-supervised learning have demonstrated encouraging potential for scalability and interpretability in downstream brain tumor-related tasks and hold promise for extension to neurological diseases with diffusely distributed lesions.Clinical relevance statementThe application of our proposed method to the prediction of key molecular status in gliomas is expected to improve treatment planning and patient outcomes. Additionally, the foundation model we developed could serve as a cornerstone for advancing AI applications in the diagnosis of brain-related diseases. (Source: European Radiology)
Source: European Radiology - April 16, 2024 Category: Radiology Source Type: research
Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection
Machine learning (ML) methods are increasingly becoming crucial in genome-wide association studies for identifying key genetic variants or SNPs that statistical methods might overlook. Statistical methods pred... (Source: Journal of Translational Medicine)
Source: Journal of Translational Medicine - April 16, 2024 Category: Research Authors: Z. Alireza, M. Maleeha, M. Kaikkonen and V. Fortino Tags: Protocol Source Type: research
Machine learning and optical coherence tomography-derived radiomics analysis to predict persistent diabetic macular edema in patients undergoing anti-VEGF intravitreal therapy
This study aimed to develop and evaluate an OCT-omics prediction model for assessing anti-vascular endothelial growth f... (Source: Journal of Translational Medicine)
Source: Journal of Translational Medicine - April 16, 2024 Category: Research Authors: Zhishang Meng, Yanzhu Chen, Haoyu Li, Yue Zhang, Xiaoxi Yao, Yongan Meng, Wen Shi, Youling Liang, Yuqian Hu, Dan Liu, Manyun Xie, Bin Yan and Jing Luo Tags: Research Source Type: research
AI & robotics briefing: AI-fuelled election campaigns are here
Nature, Published online: 16 April 2024; doi:10.1038/d41586-024-01133-1Political candidates are increasingly using ‘softfakes’ — obviously AI-generated content — to boost their campaigns and whitewash their reputation. Plus, AI now beats humans at basic tasks and algorithm learns to nudge human gaming partner. (Source: Nature AOP)
Source: Nature AOP - April 16, 2024 Category: Research Authors: Katrina Kr ämer Source Type: research
Fostering engagement in virtual anatomy learning for healthcare students
The use of virtual learning platforms is on the rise internationally, however, successful integration into existing curricula is a complex undertaking fraught with unintended consequences. Looking beyond medic... (Source: BMC Medical Education)
Source: BMC Medical Education - April 16, 2024 Category: Universities & Medical Training Authors: Lauren Singer, Lily Evans, Daniel Zahra, Ifeoluwa Agbeja and Siobhan Moyes Tags: Research Source Type: research
Light environment affects the efficiency of surgical suture training
This study investigated t... (Source: BMC Medical Education)
Source: BMC Medical Education - April 16, 2024 Category: Universities & Medical Training Authors: Yuan Gu, Lihua Xie, Xianzhe Huang, Chan Liu, Zhengxiao Ouyang, Liqin Yuan and Wenzhao Li Tags: Research Source Type: research
Validating the knowledge represented by a self-organizing map with an expert-derived knowledge structure
Professionals are reluctant to make use of machine learning results for tasks like curriculum development if they do not understand how the results were generated and what they mean. Visualizations of peer rev... (Source: BMC Medical Education)
Source: BMC Medical Education - April 16, 2024 Category: Universities & Medical Training Authors: Andrew James Amos, Kyungmi Lee, Tarun Sen Gupta and Bunmi S. Malau-Aduli Tags: Research Source Type: research
Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing
ConclusionReddit social media platform can be an alternative source to assess the SDOH issues of marginalized Black and Asian communities during the COVID-19 pandemic. By employing NLP/ML techniques such as LDA/GSDMM-based topic modeling and custom NER on a race/ethnicity-specific Reddit corpus, we uncovered various SDOH issues affecting marginalized Black and Asian communities that were significantly worsened during the COVID-19 pandemic. As a result of conducting this research, we recommend that researchers, healthcare providers, and governments utilize social media and collaboratively formulate responses and policies th...
Source: Journal of Racial and Ethnic Health Disparities - April 16, 2024 Category: International Medicine & Public Health Source Type: research
Global learning: A post-COVID-19 approach to advance health equity
Volume 19, Issue 1, January 2024 . (Source: Global Public Health)
Source: Global Public Health - April 16, 2024 Category: International Medicine & Public Health Authors: Dana Marie ParkeYolanda OgboluVirginia Rowthorna Henry Ford Health, Detroit, MI, USAb Center for Health Equity and Outcomes Research, University of Maryland Baltimore, Baltimore, MD, USA Source Type: research
UroAngel: a single-kidney function prediction system based on computed tomography urography using deep learning
ConclusionsWe proposed an automated 3D U-Net-based analysis system for direct prediction of single-kidney function stage from CTU images. UroAngel could accurately predict single-kidney function in ON patients, providing a novel, reliable, convenient, and non-invasive method. (Source: World Journal of Urology)
Source: World Journal of Urology - April 16, 2024 Category: Urology & Nephrology Source Type: research
Bowel preparation for elective colorectal resection: multi-treatment machine learning analysis on 6241 cases from a prospective Italian cohort
ConclusionsMoABP significantly reduced the SSI risk after elective colorectal surgery, therefore representing a valid alternative to NBP. (Source: International Journal of Colorectal Disease)
Source: International Journal of Colorectal Disease - April 16, 2024 Category: Gastroenterology Source Type: research
Performance of Machine Learning Based-Modelling Approach in Consolidated Bioprocessing with Microbial Consortium for Bioethanol Production
Industrial Biotechnology,Volume 20, Issue 2, Page 77-97, April 2024. (Source: Industrial Biotechnology)
Source: Industrial Biotechnology - April 16, 2024 Category: Biotechnology Authors: Mark Korang Yeboah Nana Yaw Asiedu Sefakor Dogbe Ahmad Addo Source Type: research
Machine learning for predicting Chagas disease infection in rural areas of Brazil
ConclusionOur findings highlight the potential of applying machine learning to improve the sensitivity and effectiveness of Chagas disease diagnosis and prevention. Furthermore, we emphasize the importance of integrating socio-demographic and environmental factors into neglected disease prediction models to enhance their performance. (Source: PLoS Neglected Tropical Diseases)
Source: PLoS Neglected Tropical Diseases - April 16, 2024 Category: Tropical Medicine Authors: Fabio De Rose Ghilardi Source Type: research
