Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images by Xiao-Lu Jin, Xue-Mei Li, Tie-Juan Liu, Ling-Yun Zhou

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Aortic atherosclerosis evaluation using deep learning based on non-contrast CT: A retrospective multi-center study by Mingliang Yang, Jinhao Lyu, Yongqin Xiong, Aoxue Mei, Jianxing Hu, Yue Zhang, Xiaoyu Wang, Xiangbing Bian, Jiayu Huang, Runze Li, Xinbo Xing, Sulian Su, Junhang Gao, Xin Lou

“…Trained on 435 labeled NCCT scans from three centers and validated on 388 independent cases, Aortic-AAE achieved 81.12% accuracy in aortic stenosis classification and 92.37% in Agatston scoring of calcified plaques, surpassing five state-of-the-art models. …”
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Evaluating axillary lymph node metastasis risks in breast cancer patients via Semi-ALNP: a multicenter studyResearch in context by Limeng Qu, Jinfeng Zhu, Xilong Mei, Zixi Yi, Na Luo, Songlin Yuan, Xuan Liu, Mingwen Liu, Haiqing Xie, Xiongqiang Hu, Liangrui Pan, Qingchun Liang, Yanhui Li, Qiongyan Zou, Qin Zhou, Danhua Zhang, Meirong Zhou, Lei Pei, Ke Qian, Qian Long, Qitong Chen, Xi Chen, Jennifer K. Plichta, Qingyao Shang, Meishuo Ouyang, Jiachi Xu, Wenjun Yi

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Mapping Vegetation Dynamics in Wyoming: A Multi-Temporal Analysis using Landsat NDVI and Clustering by N. Kuppala, C. Navneet Krishna, V. V. Sajith Variyar, R. Sivanpillai

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Profiles of survival prediction in glioblastoma by Franziska Loebel, Catalina Vivancos Sánchez, Laura Barrios Alvarez, Martin Misch, Ina Moritz, Mario Taravilla Loma, Cristina Utrilla, Víctor Rodríguez-Domínguez, Alberto Isla Guerrero, Peter Vajkoczy, Maria L. Gandía-González

“…None of the volumetric parameters showed a linear correlation with overall or progression-free survival. Classification regression trees were constructed to model OS-subgroups. …”
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Ride-Hailing vs. Fixed-Route: Preferences of the Transit-Dependent Populations in U.S. Urbanized Areas by Farokh Bagheri, Ali Soltani, Shima Hamidi, Parviz Azizi

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Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

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Prognostic nomograms and Aggtrmmns scoring system for predicting overall survival and cancer‐specific survival of patients with kidney cancer by Yuan Zhou, Rentao Zhang, Yinman Ding, Zhengquan Wang, Cheng Yang, Sha Tao, Chaozhao Liang

“…Cox proportional hazard model and Kaplan‐Meier curves were used for survival comparison. …”
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Definitions and Characteristics of Patient Digital Twins Being Developed for Clinical Use: Scoping Review by David Drummond, Apolline Gonsard

“…Based on these characteristics, unsupervised classification revealed 3 clusters: simulation patient digital twins in 54% (43/80) of publications, monitoring patient digital twins in 28% (22/80) of publications, and research-oriented models unlinked to specific patients in 19% (15/80) of publications. …”
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Trust and Privacy Concerns Among Cancer Survivors Who Did Not Visit a Research Website Offering Free Genetic Counseling Services for Families: Survey Study by James A Shepperd, Colleen M McBride, Weihua An, Jingsong Zhao, Rebecca D Pentz, Cam Escoffery, Kevin Ward, Yue Guan

“…Logistic regression analysis indicated that age was the only significant predictor of recall. Testing a model with age, racial or ethnic minority status, and the 6 privacy concerns correctly classified 58.8% of nonresponders, a rate of successful classification that was not appreciably better than a logistic regression analysis that included only age as a predictor. …”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…To improve the explainability of the AI models, Shapley Additive Explanations methods were also conducted.Conclusion: Exploring HF mortality and its patterns related to clinical risk factors by machine learning models can help physicians make appropriate decisions when monitoring HF patients’ health quality in the hospital.Keywords: mortality, risk factor, cardiovascular disease, multivariate statistical analysis, machine learning, artificial intelligence…”
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STORCH Brazil: multicenter cohort study protocol to investigate neurodevelopmental paths and functioning in infants exposed to STORCH in Brazil by Daniele Almeida Soares-Marangoni, Amanda de Oliveira Arguelho, Ayrles Silva Gonçalves Barbosa Mendonça, Carine Carolina Wiesiolek, Carolina Daniel de Lima-Alvarez, Eloá Maria dos Chiquetti, Everton Falcão de Oliveira, Márcio José de Medeiros, Silvana Alves Pereira, Renata Hydee Hasue

“…However, no study has examined the impact of STORCH on infants’ neurodevelopmental outcomes in a large, multi-center cohort, recruiting a substantial number of participants, with analysis across a broad set of variables and ages and based on the International Classification of Functioning, Disability and Health (ICF) model. …”
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Territories -in- between by Alexander Wandl

“…The comparison with widely used urban-rural classifications shows that the notion of TiB has three advantages: (i) it maps the complexity of the spatial structure of urbanised areas on a regional scale, and thereby helps to overcome the prevalent idea that urbanised regions are characterised by a spatial gradient from urban centre(s) to rural periphery; (ii) it emphasises the network structure of territories-in-between and the underlying connectivity of places with different functions; and (iii) it raises awareness that in some parts of Europe a settlement pattern has developed that cannot be understood as either urban or rural. …”
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Effect of Explainable Artificial Intelligence on Trust of Mental Health Professionals in an AI-Based System for Suicide Prevention by Adonias Caetano de Oliveira, Joao Pedro Cavalcanti Azevedo, Livia Ruback, Rayele Moreira, Silmar Silva Teixeira, Ariel Soares Teles

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Unmasking social bots: how confident are we? by James Giroux, Gangani Ariyarathne, Alexander C. Nwala, Cristiano Fanelli

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Online Neural Dynamics Forecasting for power system security by Mert Karacelebi, Jochen L. Cremer

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Environmental Risks and Non-Communicable Diseases of Adolescents, Smolensk Region Case Study by V. Tikunov, T. Vatlina

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Governance mechanism and risk management of Congolese commercial banks by Louison TETE SULA, Yannick NSIESILA MANZANZA, Alain PAYANZO NTSOMO

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Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy by Tu‐Lan Vu‐Han, Vikram Sunkara, Rodrigo Bermudez‐Schettino, Jakob Schwechten, Robin Runge, Carsten Perka, Tobias Winkler, Sebastian Pokutta, Claudia Weiß, Matthias Pumberger

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Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training by Kamelia Sepanloo, Daniel Shevelev, Young-Jun Son, Shravan Aras, Janine E. Hinton

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