Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation by Emmanuel Andrès, Amir El Hassani Hajjam, Frédéric Maloisel, Maria Belén Alonso-Ortiz, Manuel Méndez-Bailón, Thierry Lavigne, Xavier Jannot, Noel Lorenzo-Villalba

“…With its ability to process vast amounts of clinical, genomic, and pharmacovigilance data, AI can identify patterns and risk factors that may be missed by traditional methods. Machine learning algorithms can refine predictive models, enabling earlier detection and more accurate risk assessments. …”
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A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction by Chenwei Wu, David Restrepo, Luis Filipe Nakayama, Lucas Zago Ribeiro, Zitao Shuai, Nathan Santos Barboza, Maria Luiza Vieira Sousa, Raul Dias Fitterman, Alexandre Durao Alves Pereira, Caio Vinicius Saito Regatieri, Jose Augusto Stuchi, Fernando Korn Malerbi, Rafael E. Andrade

“…Abstract This paper introduces mBRSET, the first publicly available diabetic retinopathy retina dataset captured using handheld retinal cameras in real-life, high-burden scenarios, comprising 5,164 images from 1,291 patients of diverse backgrounds. …”
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Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database by Hongyi Chen, Haiyang Song, Hongyu Huang, Xiaojun Fang, Huang Chen, Qingqing Yang, Junyu Zhang, Wenjun Ding, Zheng Gong, Jun Ke

“…BackgroundHigh-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for improving patient survival rates.MethodsWe developed a machine learning prediction model using the MIMIC-IV database (n = 14,716 patients, including 1,302 high-risk cases). …”
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Enhancing Accessibility Through Machine Learning: A Review on Visual and Hearing Impairment Technologies by Pal Patel, Shreyansh Pampaniya, Ananya Ghosh, Ritu Raj, Deepa K, Saravanakumar Kandasamy

“…This paper provides a comprehensive review of machine learning algorithms designed to enhance accessibility for these groups. …”
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Clinical Recommendations on Emergency Medical Care Rendering to Children with Acute Intoxication by A. A. Baranov, S. F. Bagnenko, L. S. Namazova-Baranova, Y. S. Alexandrovich, K. V. Pshenisnov, E. A. Alexeyeva, L. R. Selimzyanova

“…Drugs, various chemicals frequently used in everyday life and in farming, as well as animal poisons, including snake poisons, may have a toxic effect on children. …”
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A novel deep learning model for predicting marine pollution for sustainable ocean management by Michael Onyema Edeh, Surjeet Dalal, Musaed Alhussein, Khursheed Aurangzeb, Bijeta Seth, Kuldeep Kumar

“…The disposal of plastics in the seas alters aquatic life. Marine plastic pollution poses a grave danger to the marine environment and the long-term health of the ocean. …”
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Targeted Interventional Therapies for the Management of Postamputation Pain: A Comprehensive Review by Dunja Savicevic, Jovana Grupkovic, Uros Dabetic, Dejan Aleksandric, Nikola Bogosavljevic, Uros Novakovic, Ljubica Spasic, Slavisa Zagorac

“…Nevertheless, further research is required to standardize clinical algorithms, optimize therapeutic decision-making and improve long-term outcomes and quality of life for individuals with PAP.…”
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Toward Cyborg: Exploring Long-Term Clinical Outcomes of a Multi-Degree-of-Freedom Myoelectric Prosthetic Hand by Yuki Kuroda, Yusuke Yamanoi, Hai Jiang, Yoshiko Yabuki, Yuki Inoue, Dianchun Bai, Yinlai Jiang, Jinying Zhu, Hiroshi Yokoi

“…Progress in this field has been directed toward employing machine-learning algorithms to process electromyogram patterns, enabling a broad spectrum of hand movements. …”
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DRBO—A Regional Scale Simulator Calibration Framework Based on Day-to-Day Dynamic Routing and Bayesian Optimization by Xuan Jiang, Yibo Zhao, Chonghe Jiang, Junzhe Cao, Alexander Skabardonis, Alex Kurzhanskiy, Raja Sengupta

“…Traffic simulation, a tool for recreating real-life traffic scenarios, acts as an important platform in transportation research. …”
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Update Management of Atopic Dermatitis by Indri Widya Sari, Sarah Diba, Nopriyati, Athuf Thaha, Raden Pamudji, Fitriani

“…Updated management of AD adequately improves the quality of life.…”
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Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data by Chien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, Yam Meng Chan, Vinithasree Subbhuraam, Lai Gwen Chan, U. Rajendra Acharya

“…This study collected demographic and sociological data, quality of life scores, stroke-related information, medical and medication history, and comorbidities. …”
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Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals by Jonathan Martinez, Kaan Sel, Bobak J. Mortazavi, Roozbeh Jafari

“…<italic>Significance</italic>: Precise hemodynamic parameter estimation with wearable devices enables continuous health monitoring throughout a patients&#x2019; daily life.…”
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Automated Cough Analysis with Convolutional Recurrent Neural Network by Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang

“…The approach requires validation in detecting spontaneous coughs in patients with refractory chronic cough in a real-life setting.…”
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Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

“…The information society is part of modern life, and algorithmic thinking and programming are relevant to everybody, regardless of educational background. …”
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Li-Ion Battery Active–Passive Hybrid Equalization Topology for Low-Earth Orbit Power Systems by Lin Zhu, Zihua Liu, Yong Lin, Zhe Li, Jian Qin, Xiaoguang Jin, Shujie Yan

“…Nevertheless, active equalization often requires a large number of switches and energy storage components, involves complex control algorithms, and faces challenges such as large size and reduced reliability. …”
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Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography by Hirotatsu Imai, Yuya Kanie, Shusuke Yoshimoto, Natsuki Yamamoto, Masayuki Furuya, Takahito Fujimori, Seiji Okada

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Leveraging SARs and Advanced Deep Learning Techniques for Oil Spill Detection in UAE by M. Alkhalifa, A. Alowais, A. Manousakis, A. Manousakis

“…Accidental oil spills are known to reflect negative outcomes on the environment and human health as well as marine life and coastal regions&rsquo; economy. In aim to solve this issue, we suggest a system that is designed to detect oil spills on the ocean surface and provide information for taking appropriate measures to contain the spill. …”
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A Predictive Model for Secondary Posttonsillectomy Hemorrhage in Pediatric Patients: An 8‐Year Retrospective Study by Yuting Ge, Wenchuan Chang, Lixiao Xie, Yan Gao, Yue Xu, Huie Zhu

“…ABSTRACT Objectives Posttonsillectomy hemorrhage (PTH) is a common and potentially life‐threatening complication in pediatric tonsillectomy. …”
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Identification and validation of reference genes with stable expression under elicitor treatments of the medicinal plant Arnica montana L. by Magdalena Sozoniuk, Maria Petrova, Kiril Mishev, Kamelia Miladinova-Georgieva, Maria Geneva

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Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks by Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah

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