Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation... by Peranut Chotcomwongse, Paisan Ruamviboonsuk, Chaiwat Karavapitayakul, Koblarp Thongthong, Anyarak Amornpetchsathaporn, Methaphon Chainakul, Malee Triprachanath, Eckachai Lerdpanyawattananukul, Niracha Arjkongharn, Varis Ruamviboonsuk, Nattaporn Vongsa, Pawin Pakaymaskul, Turean Waiwaree, Hathaiphan Ruampunpong, Richa Tiwari, Viroj Tangcharoensathien

“…To integrate the screening programs, with or without artificial intelligence (AI), into hospital information systems to improve their effectiveness, the non-digital workflow must be transformed into digital. …”
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Development an Inflammation-Related Factor-Based Model for Predicting Organ Failure in Acute Pancreatitis: A Retrospective Cohort Study by Yunpeng Peng, Xiaole Zhu, Chaoqun Hou, Chenyuan Shi, Dongya Huang, Zipeng Lu, Yi Miao, Qiang Li

“…Methods. 100 patients with their clinical information and IRF data (levels of 10 cytokines, percentages of different immune cells, and data obtained from white blood cell count) were retrospectively enrolled in this study, and 94 patients were finally selected for further analysis. …”
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A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine by S. Syama, J. Ramprabhakar, R Anand, V. P. Meena, Josep M. Guerrero

“…Then, a unique swarm intelligence technique, the non-linear dimension learning Hunting Whale Optimization Algorithm (NDLHWOA), is devised to optimize regularized extreme learning machine model parameters to capture the implicit information of each reconstructed sub-series. By integrating a non-linear convergence parameter and the dimension learning hunting approach, the performance of WOA can be drastically enhanced, leading to premature convergence, enhanced population variety, and effective global search. …”
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Up-to-Date Imaging for Parathyroid Tumor Localization in MEN1 Patients with Primary Hyperparathyroidism: When and Which Ones (A Narrative Pictorial Review) by Valentina Berti, Francesco Mungai, Paolo Lucibello, Maria Luisa Brandi, Carlo Biagini, Alessio Imperiale

“…[¹⁸F]FCH PET/CT demonstrates high sensitivity and may provide additional information compared to other imaging modalities, especially in cases of recurrent HPT.…”
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Economic impact of road accidents on costs of employee turnover: A quantitative study from Poland by Agata Małgorzata Jaździk-Osmólska, Magdalena Kalbarczyk Kalbarczyk, Daniel Trzaskowski, Robert Wojtachnik, Adrianna Trzaskowska-Dmoch

“…However, the risk of becoming a road accident victim is not limited to fleet drivers. Better information about employee road accident costs needs to be provided in the literature. …”
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Pumpkin and watermelon production constraints and management practices in Uganda by Fred B. Masika, Titus Alicai, Hussein Shimelis, Gabriel Ddamulira, Shahasi Y. Athman, Perpetua Ipulet, Morgan Andama, Arthur K. Tugume

“…However, there is limited research and information on constraints affecting their production. …”
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Artificial neural networks analysis predicts long-term fistula function in hemodialysis patients following percutaneous transluminal angioplasty by Aichi Chien, Ayush Lall, Maitraya Patel, Lucas Cusumano, Justin McWilliams

“…Therefore, in this paper we hypothesize that based on patient-specific information collected during PTA, a predictive model can be created to help improve treatment planning. …”
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Predicting risk factors for Epstein-Barr virus reactivation using Bayesian network analysis: a population-based study of high-risk areas for nasopharyngeal cancer by Zhiwen Zeng, Kena Lin, Xueqi Li, Xueqi Li, Tong Li, Xiaoman Li, Jiayi Li, Zule Ning, Qinxian Liu, Shanghang Xie, Sumei Cao, Sumei Cao, Jinlin Du

“…This study aimed to investigate the risk factors for EBV reactivation associated with NPC in high-prevalence areas in China using a Bayesian network (BN) model combined with structural equation modeling tools.MethodsThe baseline information for this study was derived from NPC screening data from a population-based prospective cohort in Sihui City, Guangdong Province, China. …”
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Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning by Tiziana Amoriello, Roberto Ciorba, Gaia Ruggiero, Francesca Masciola, Daniela Scutaru, Roberto Ciccoritti

“…In recent years, machine learning techniques, such as artificial neural networks (ANNs), have been successfully applied to more efficiently extract valuable information from spectral data and to accurately predict quality traits. …”
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Compulsive Buying Disorder among Medicine, Dentistry, and Nursing Undergraduate Students from Chengalpattu District, Tamil Nadu, India: A Cross-sectional Study by A Hari Narayanan, Vedapriya Dande Rajasekar, Raja Danasekaran, BN Surya, P Manoj, S Madhush Kumar, Rehana Syed, R Harishma

“…A pretested semistructured questionnaire was used to collect information on socio-demographic details and various risk factors associated with CBD. …”
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HCV and HIV co-infection among people who inject drugs in Vietnam by Vu Toan THINH, Li LI, Dréan MATTHIEU, Van Dinh HOA, Nguyen Huu ANH, Le Minh GIANG

“…PWID have driven the HIV epidemic in Vietnam but information on HIV/HCV co-infection is limited. Methods: A cross-sectional study was conducted with 509 PWID recruited in Hanoi from February 2016 to April 2017. …”
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Association between COVID-19 anxiety syndrome and COVID-19 vaccine hesitancy in the postpandemic era: a cross-sectional study in Hong Kong by Timothy Chung Ming Wu, Jonathan Ka Ming Ho, Sai Kit Choi, Yanki Hiu Yan Chan, Bella Wing Sze Chan, Timmy Tim Ming Li, Fu Po Tam, Ivan Man Chun Wong, Alex Siu Wing Chan

“…Comprehensive interventions addressing both informational and psychological aspects are needed to increase the rate of vaccine acceptance and to mitigate the effect of CAS on public health outcomes.…”
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Prevalence of and factors associated with symptoms consistent with a diagnosis of irritable bowel syndrome among resident physicians in standardised training in China: a cross-sect... by Xin Wang, Ning Li, Xia Li, Zhigang Li, Jun Zhao, Xuefei Wang, Xin Hao, Jiayi Yang, Junjian Tian

“…Objectives This study aims to investigate the incidence of and factors associated with irritable bowel syndrome (IBS) among resident physicians in standardised training at eight traditional Chinese medicine (TCM) hospitals in China.Design A cross-sectional survey was administered to resident physicians in their first to third years of standardised training at eight TCM hospitals.Participants and setting A total of 514 resident physicians in standardised training were included.Measures The questionnaire consisted of two sections, namely: section A collected basic information, and section B included the four-item Perceived Stress Scale (PSS-4), the Patient Health Questionnaire-4 (PHQ-4), the Pittsburgh Sleep Quality Index (PSQI) and the Rome IV criteria for IBS. …”
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Predicting High-Grade Acute Urinary Toxicity and Lower Gastrointestinal Toxicity After Postoperative Volumetric Modulated Arc Therapy for Cervical and Endometrial Cancer Using a No... by Tianyu Yang, Zhe Ji, Runhong Lei, Ang Qu, Weijuan Jiang, Xiuwen Deng, Ping Jiang

“…The receiver operating characteristic (ROC) curve, calibration curve, Akaike’s corrected information criterion (AICc), decision curve analysis (DCA), and clinical impact curve (CIC) were analyzed to evaluate the performance of NTCP models. (3) Results: Bladder V_40Gy was identified to develop the NTCP model of AUT, and the mean AUC was 0.69 (CI: 0.58–0.80). …”
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Qualitative focus group discussions exploring PrEP method and service delivery preferences among female sex workers and their managers in four Zambian provinces by Holly M Burke, Emily Evens, Tendai Munthali, Featherstone Mangunje, Mercy L Kotaka, Bupe Musonda, Musonda Musonda, Catherine S Todd

“…Most FSWs and managers agreed that informing non-paying or long-term partners of PrEP use was acceptable. …”
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Surgical Outcomes and Sociodemographic Disparities Across All Races: An ACS-NSQIP and NHIS Multi-Institutional Analysis of Over 7.5 Million Patients by Dany Y. Matar, BA, Samuel Knoedler, Anthony Y. Matar, BS, Sarah Friedrich, PhD, Harriet Kiwanuka, MD, Ryoko Hamaguchi, MD, Carla M. Hamwi, BS, Gabriel Hundeshagen, MD, MMS, Valentin Haug, MD, Ulrich Kneser, MD, PhD, Keisha Ray, PhD, Dennis P. Orgill, MD, PhD, Adriana C. Panayi, MD, PhD

“…Focused investigations into these complications could reveal underlying causes, informing healthcare policies to enhance surgical care universally.…”
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Frailty-adjusted therapy in Transplant Non-Eligible patients with newly diagnosed Multiple Myeloma (FiTNEss (UK-MRA Myeloma XIV Trial)): a study protocol for a randomised phase III... by Roger Owen, John Jones, David Meads, David A Cairns, Christopher Parrish, Gordon Cook, Neil Rabin, Matthew Jenner, Martin Kaiser, Kevin Boyd, Graham Jackson, Catherine Olivier, Amy Beth Coulson, Kara-Louise Royle, Charlotte Pawlyn, Anna Hockaday, Jennifer Bird, Stella Bowcock, Ruth de Tute, Hayley Gardner, Bryony Dawkins, Rowena Henderson, Phillip Best, Bhuvan Kishore, Mark Drayson

“…Participants are required to provide written informed consent prior to trial registration. Trial results will be disseminated by conference presentations and peer-reviewed publications.Trial registration number ISRCTN17973108, NCT03720041.…”
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Genomic selection for resistance to one pathogenic strain of Vibrio splendidus in blue mussel Mytilus edulis by Munusamy Ajithkumar, Jonathan D’Ambrosio, Marie-Agnès Travers, Romain Morvezen, Lionel Degremont

“…Genetic improvement of disease resistance can be an effective approach to overcoming this issue.MethodsIn this work, we tested genomic selection in the blue mussel (Mytilus edulis) to understand the genetic basis of resistance to one pathogenic strain of Vibrio splendidus (strain 14/053 2T1) and to predict the accuracy of selection using both pedigree and genomic information. Additionally, we performed a genome-wide association study (GWAS) to identify putative QTLs underlying disease resistance. …”
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Advancements, Trends and Future Prospects of Lower Limb Prosthesis by Muhammad Asif, Mohsin Islam Tiwana, Umar Shahbaz Khan, Waqar Shahid Qureshi, Javaid Iqbal, Nasir Rashid, Noman Naseer

“…The control section provides information about control techniques, sensors used, machine learning algorithms, and their key outcomes. …”
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Progressive Self-Prompting Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images by Xiaoning Zhang, Yi Yu, Daqun Li, Yuqing Wang

“…The primary challenge lies in generating robust features that can effectively integrate both global semantic information for salient object localization and local spatial details for boundary reconstruction. …”
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