Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models by Omer A. Alawi, Haslinda Mohamed Kamar, Ali Alsuwaiyan, Zaher Mundher Yaseen

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Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia by Christian M. Moreno-Rocha, José R. Nuñez-Alvarez, Juan Rivera-Alvarado, Alfredo Ghisayz Ruiz, Enderson A. Buelvas-Sanchez

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Pancreatic Cancer Resectability After Neoadjuvant Treatment: An Imaging Challenge by Ioannis Christofilis, Charikleia Triantopoulou, Spiros Delis

“…Multidisciplinary evaluation integrating radiologic, biochemical, and clinical findings is essential to guide surgical decision-making and improve patient outcomes.…”
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CT angiography versus clinical, echocardiographic, and invasive gradients in coarctation and recoarctation of the aorta by André Vaz, Ludmila M. Young, Renata Muller Couto, Kevin R. M. de Paula, Eduardo K. U. N. Fonseca

“…These findings support its use in clinical decision-making and suggest potential for standardized protocols.…”
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Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer by Nan Yang, Zhuang Xuan Ma, Xin Wang, Li Xiao, Liang Jin, Ming Li

“…By integrating radiomics features extracted from CT with clinical data, this model provides personalized prognostic assessment for clinicians. Its clinical utility lies in aiding treatment decision-making by offering more accurate prognostic evaluation, optimizing therapeutic strategies, and identifying high-risk patients at an early stage, ultimately improving overall survival and quality of life. …”
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Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Xianjun Deng, Jong Hyuk Park

“…These challenges are compounded by the dynamic nature of vehicular networks and the stringent requirements for real-time data processing and decision-making. Much research is on using novel technologies such as machine learning, blockchain, and cryptography to secure V2X communications. …”
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Randomized trial of cognitive training and brain stimulation in non‐demented older adults by Daria Antonenko, Friederike Thams, Ulrike Grittner, Jessica Uhrich, Franka Glöckner, Shu‐Chen Li, Agnes Flöel

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Risk-aware local traffic safety evaluation for autonomous new energy vehicles based on virtual force modeling by Huilan Li, Huilan Li, Yun Wan, Junning Shang, Xiangyang Xu

“…Simulations demonstrated that the framework enables timely risk perception and adaptive control behaviors (e.g., braking, evasive lane changes), which substantially improved the driving safety of NEVs.DiscussionThis work provides a unified and computationally efficient tool for enhancing risk-aware decision-making and control in autonomous NEVs. …”
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Comparison of blood viscosity models in different degrees of carotid artery stenosis by Siyu Liu, Sai Wang, Hongan Tian, Junzhen Xue, Yuxin Guo, Jingxi Yang, Haobin Jiang, Jian bao Yang, Yang Zhang

“…Objective This study aims to investigate the differences in computational time and accuracy of four key hemodynamic indices—wall shear stress (WSS), time-averaged wall shear stress (TAWSS), Oscillatory Shear Index (OSI), and relative residence time (RRT)—across different viscosity models, thereby providing optimal model selection for clinical cases and offering guidance for clinicians’ decision-making. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Outcomes were synthesised narratively. Two decision trees were used for cost-effectiveness: (1) a simple decision tree for the detection of actionable nodules and (2) a decision tree reflecting the full clinical pathways for people undergoing chest computed tomography scans. …”
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Kinaesthetic empathy through the lens of the cinematographer: physiological and phenomenological alignments in the act of creation by William Primett, Ksenia Mukhina, Mehmet Burak Yilmaz, Willeke Rietdijk, Willeke Rietdijk, Pia Tikka

“…Our findings emphasize the role of kinaesthetic empathy, in which embodied decision-making responds to predicted inner states, shaping and modulating emotional understanding throughout the filming process.…”
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Quantitative analysis and clinical determinants of orthodontically induced root resorption using automated tooth segmentation from CBCT imaging by Jiaqi Lin, Qianhan Zheng, Yongjia Wu, Mengqi Zhou, Jiahao Chen, Xiaozhe Wang, Ting Kang, Weifang Zhang, Xuepeng Chen

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Maxillary sinus pathologies in dental implant candidates: CBCT-based prevalence and odontogenic risk factors by Sercan Küçükkurt

“…Abstract Background This retrospective study aimed to assess the prevalence of maxillary sinus pathologies and their associations with odontogenic factors in dental implant candidates using cone beam computed tomography (CBCT). …”
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Radiological assessment of pulmonary vascular changes and gastrointestinal changes in patients with COVID-19 referred to a tertiary health care center in Chennai, India: a prospect... by Hariharan Sathishkumar, Afwaan Faizal, Abdul Majith, Vishnu Raj, Agathiyanathan Venkataramani

“…Thus, for these patients, the use of contrast-enhanced computed tomography instead of standard non-contrast computed tomography may aid in treatment decision-making.…”
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Fitness profile and training of Special Operation Forces: a comparison with sports athletes by Alain Dössegger, Alain Dössegger, Thomas Gsponer, Martin Flück, Martin Flück, Christian Protte, Christian Protte, Thomas Wyss, Eric Häusler, Markus Gerber, Oliver Faude

“…IntroductionTactical athletes of Special Operations Forces personnel face diverse, high-risk demands—from explosive power actions and maximal strength tasks to prolonged endurance efforts and rapid decision making under stress. This study aimed to develop a multidimensional fitness profile for these tactical athletes by defining Critical Success Factors and translating them into measurable performance indicators, then comparing Swiss Special Operations Forces operators and candidates with sports athletes.MethodIn a cross sectional, observational design, 262 male participants completed a tailored battery of laboratory and field tests: 69 Special Operations Forces operators, 175 Special Operations Forces candidates, and 18 athletes from disciplines such as decathlon, Thai boxing, wrestling, and ice hockey. …”
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Radiomics analysis of thoracic vertebral bone marrow microenvironment changes before bone metastasis of breast cancer based on chest CT by Hao-Nan Zhu, Yi-Fan Guo, YingMin Lin, Zhi-Chao Sun, Xi Zhu, YuanZhe Li

“…The effectiveness of this combined model was assessed through receiver operating characteristic (ROC) analysis as well as decision curve analysis (DCA). …”
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Contrast-enhanced CT-based deep learning model assists in preoperative risk classification of thymic epithelial tumors by Xuhui Zhao, Lingyu Zhang, Li Liang, Qi Zhang, Wencan Wang, Junlin Li, Hua Zhang, Chunhai Yu, Lingjie Wang

“…Notably, DL model significantly improved junior radiologists’ diagnostic performance, with an average AUC of 0.822, approaching senior radiologists’ average AUC of 0.859 (p > 0.05).ConclusionsThis study demonstrated that a DL model based on contrast-enhanced CT can reliably assist radiologists in preoperative risk stratification of TETs, bridging the diagnostic performance gap between junior and senior radiologists and supporting clinical decision-making.…”
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Quantitative adverse outcome pathway modeling for cigarette-smoke-induced airway mucus hypersecretion. Part 1: adverse-outcome-pathway-based in vitro assessment with repeated expos... by Sakuya Ichikawa, Shugo Muratani, Keigo Sano, Kazuo Erami, Akina Mori, Risa Matsumoto, Shigeaki Ito

“…Adverse outcome pathway (AOP)-based chemical risk assessment is a promising tool for regulatory decision-making and is typically used in toxicological assessments. …”
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Prediction of solid pseudopapillary tumor invasiveness of the pancreas based on multiphase contrast-enhanced CT radiomics nomogram by Dabin Ren, Liqiu Liu, Aiyun Sun, Yuguo Wei, Tingfan Wu, Yongtao Wang, Xiaxia He, Zishan Liu, Jie Zhu, Guoyu Wang

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Achieving cloud resource optimization with trust-based access control: A novel ML strategy for enhanced performance by Bala Subramanian C, Bharathi ST, Shanmugapriya S

“…Enhance trust-based access control and resource allocation decisions while maintaining a minimal computational burden. …”
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