Comparison of clinical nasal endoscopy, optical biopsy, and artificial intelligence in early diagnosis and treatment planning in laryngeal cancer: a prospective observational study by Ruifang Hu, Xianping Liu, Yong Zhang, Clement Arthur, Dongguang Qin

“…The AI model was trained on a different pre-annotated dataset, and the images from the study cohort were not used to train the AI model – this methodologically ensures no bias has been introduced into the evaluation. …”
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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

“…By taking into account the modified Atangana-Baleanu-Caputo (mABC) fractional difference operator, we develop an analytical framework for an outbreak caused by influenza and broaden it to accommodate the fractional scenario. …”
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Optimization configuration of coal mine multi-energy complementary heat and power coordinated supply system in western China by Longfei WANG, Shuai WANG, Qing LI, Ruihua LI, Jin WU, Yi XIANG, Zhe BING

“…A multi-dimensional evaluation index system based on economic efficiency, energy efficiency, environmental protection, and safety reliability was proposed to analyze and evaluate the system. …”
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Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model by Shuoyang Wei, Ankang Hu, Yongguang Liang, Jingru Yang, Lang Yu, Wenbo Li, Bo Yang, Jie Qiu

“…In lateral comparisons among different LLMs, no statistically significant differences were observed in the PTV dose, OARs dose sparing, and target volume conformity between Qwen-2.5-max and Llama-3.2 plans. …”
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The implementation of the situational control concept of information security in automated training systems by A. M. Chernih, S. V. Fedoseev

“…Developed method of situational control of information security in automated learning systems, involves the participation of the operator in the development and decision-making (dialogue procedures statement of objectives situational control, the formation of the base of alternative sets of control actions, etc.).Another important feature of this technique is the necessity of using previously developed models (models of decision-making situation, a model of coordination and planning of operation of a subsystem of the control and protection of information, models of information processing about the status of the subsystem analysis models and evaluation of results) and the database obtained on the basis of operating experience of information protection systems in the automated learning systems.The implementation of the concept of situational control of information security ensures the timely adaptation of the algorithms and parameters of the information security system to changes in the external environment and the nature of tasks within the education systems and on this basis allows to improve the characteristics of the information protection system in the automated learning systems.…”
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Prediction of Head Injury Criteria in Pedestrian Crashes Using Frequency Response Function-Based Deep Neural Networks by Seon-Hong Kim, Seounghyun Lee, Taewung Kim, Je-Heon Han

“…Subsequently, this correlation was evaluated using the hoods of two actual vehicles. The results revealed significant differences compared to the steel plate analysis, primarily due to the influence of contact with the lower components beneath the hood. …”
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Burned area detection based on time-series analysis in a cloud computing environment by J.A. Anaya, W.F. Sione, A.M. Rodriguez-Montellano

“…In order to maximize the burned area detection two alternatives to the temporal dNBR method were evaluated: the relative form of the temporal difference RdNBR and the use of time series metrics. …”
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Migraine triggers, phases, and classification using machine learning models by Anusha Reddy, Ajit Reddy

“…In many cases, patients with migraine are often misdiagnosed as regular headaches.MethodsIn this article, we present a study on migraine, covering known triggers, different phases, classification of migraine into different types based on clinical studies, and the use of various machine learning algorithms such as logistic regression (LR), support vector machine (SVM), random forest (RF), and artificial neural network (ANN) to learn and classify different migraine types. …”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

“…IntroductionThe colony forming assay (CFA) stands as a cornerstone technique for evaluating the clonal expansion ability of single cancer cells and is crucial for assessing drug efficacy. …”
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Gaps in universal health coverage in South Korea: Association with depression onset in a community cohort. by Hye Yin Park, Yun-Chul Hong, Ichiro Kawachi, Juhwan Oh

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Assessment of prognosis and responsiveness to immunotherapy in colorectal cancer patients based on the level of immune cell infiltration by Kaili Liao, Minqi Zhu, Lei Guo, Zijun Gao, Jinting Cheng, Bing Sun, Yihui Qian, Bingying Lin, Jingyan Zhang, Tingyi Qian, Yixin Jiang, Yanmei Xu, Qionghui Zhong, Xiaozhong Wang

“…The degree of tumor immune cell infiltration of the samples was analyzed using the CIBERSORT algorithm. Co-expression of immune-related genes was analyzed using weighted correlation network analysis (WGCNA) and gene modules were identified. …”
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Prognostic implications of the high sensitivity C-reactive protein to albumin ratio for major cardiovascular adverse events in patients undergoing noncardiac surgery by Yingjie Chen, Jingfang Lin, Dongxu Chen, Jundan Jiang, Yongxin Huang, Cansheng Gong, Yawen Xie, Xiaohui Chen, Ting Zheng, Yanling Tang, Xiaochun Zheng, Yanling Liao

“…The feature significance and predictive models were developed via the Boruta algorithm and machine learning techniques. A total of 7,366 patients were included. …”
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The value of a combined model based on ultra-radiomics and multi-modal ultrasound in the benign-malignant differentiation of C-TIRADS 4A thyroid nodules: a prospective multicenter... by Shuai Cui, Qifan Liu, Hailong Wang, Husha Li, Wei Li, Chenlong Li, Leilei Bi, Yang Mu, Wenjing Guo, Jundong Yao, Zhoulong Zhang

“…Based on 17 ultrasound radiomics features, a radiomics model was constructed using the RF machine learning algorithm. The combined model was developed by combining the two aforementioned models. …”
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Diagnostic and prognostic implications of family history of fibrotic interstitial lung diseases by D. Duminy-Luppi, A. Alcaide-Aldeano, L. Planas-Cerezales, G. Bermudo, V. Vicens-Zygmunt, P. Luburich, B. Del Río-Carrero, R. Llatjós, L. Pijuan, I. Escobar, F. Rivas, A. Montes-Worboys, Y. Gutiérrez-Rodríguez, D. Rodríguez-Plaza, A. Padró-Miquel, A. Esteve-Garcia, B. Fernández-Varas, C. Flores, M. Fuentes, J. Dorca, S. Santos, R. Perona, A. Günther, J. Shull, M. Molina-Molina

“…Current guidelines do not consider family aggregation or genetic information in the diagnostic algorithm for idiopathic pulmonary fibrosis or other fibrotic ILDs. …”
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Longitudinal Assessment of Area of Reticular Pseudodrusen in Eyes with Age-Related Macular Degeneration by Swetha Bindu Velaga, MS, Ahmed Roshdy Alagorie, MD, Muneeswar Gupta Nittala, MPhil, Noel C. Moore, PhD, Yeunjoo E. Song, PhD, Jonathan Haines, PhD, Margaret A. Pericak-Vance, PhD, Dwight Stambolian, MD, Zhihong Hu, PhD, Ye He, MD, PhD, Srinivas R. Sadda, MD

“…Purpose: To evaluate the change in the area of reticular pseudodrusen (RPD) and choroidal thickness over 2 years in eyes with age-related macular degeneration (AMD). …”
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CatSkill: Artificial Intelligence-Based Metrics for the Assessment of Surgical Skill Level from Intraoperative Cataract Surgery Video Recordings by Binh Duong Giap, PhD, Dena Ballouz, MD, Karthik Srinivasan, MD, MS, Jefferson Lustre, BS, Keely Likosky, BS, Ossama Mahmoud, MD, Shahzad I. Mian, MD, Bradford L. Tannen, MD, JD, Nambi Nallasamy, MD

“…Purpose: To develop and validate a novel artificial intelligence (AI)–powered video analysis system to assess surgeon proficiency in maintaining (1) eye neutrality, (2) eye centration, and (3) adequate focus of the operating microscope in cataract surgery and evaluate differences in these metrics between attending cataract surgeons and ophthalmology residents. …”
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Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

“…While numerous SM datasets have been developed for passive microwave remote sensing systems operating at various frequencies, the consistency of SM dry-down patterns observed by different sensors remains uncertain. Additionally, the use of distinct algorithms across SM products complicates direct comparisons. …”
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MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma by Yuli Zeng, Huiqin Wu, Yanqiu Zhu, Chao Li, Dongyang Du, Yang Song, Sulian Su, Jie Qin, Guihua Jiang, Guihua Jiang, Guihua Jiang

“…A clinical-radiological model (CR model) was constructed, and two fusion models were generated by combining the radiomics or/and CR models using a stacking algorithm (fusion_R and fusion_CR). Model performance was evaluated using AUC, accuracy, sensitivity, and specificity.ResultsThe MDelta model demonstrated higher sensitivity compared to the MCVT-AP and MCVT-PVP models. …”
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A network meta-analysis of maintenance therapy in chronic lymphocytic leukemia. by Cho-Hao Lee, Po-Huang Chen, Chin Lin, Chieh-Yung Wang, Ching-Liang Ho

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Insulin resistance quantified by estimated glucose disposal rate predicts cardiovascular disease incidence: a nationwide prospective cohort study by Shiyi Tao, Lintong Yu, Jun Li, Ji Wu, Xuanchun Huang, Zicong Xie, Tiantian Xue, Yonghao Li, Lilan Su

“…The area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, Hosmer–Lemeshow test, net reclassification improvement (NRI), and decision curve analysis (DCA) were employed to evaluate the clinical efficacy of eGDR in identifying CVD. …”
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