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European Health Evidence

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EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

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EUVIMED Themenbrowser · Digital Health · Seite 110

Was ist neu im Gesundheitswesen?

Entdecken Sie tatsächlich neu veröffentlichte Arbeiten aus Medizin, Pflege, Therapie, Public Health und Life Sciences. Sortiert nach Publikationsdatum, nicht nach Zitierhäufigkeit.

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Aktuelle Forschung nach Fachgebiet

23 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
07.09.2026journal-article

ShodhAI: Journal of Artificial Intelligence

THE STATUS OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPER COMMUNITY: A LITERATURE REVIEW OF STATISTICS, TRENDS, AND EXPECTATIONS CURRENT ADOPTION PATTERNS, EMERGING TRENDS, AND FUTURE OUTLOOK (2023–2026)

Stefano Colafranceschi

Artificial intelligence (AI) has moved from an experimental novelty to a structural component of professional software development within roughly three years. This literature review synthesizes evidence from four large-sample industry surveys: the Stack Overflow. (2025) (n = 49,009), the Google Cloud. (2025) (n > 5,000), the JetBrains State of the Developer Ecosystem 2025 (n = 24,534), and Github. (2025) platform telemetry. This study presents a targeted set of peer-reviewed and preprint academic studies, including …

07.09.2026journal-article

Nakhara: Journal of Environmental Design and Planning

Predicting Digital Transactions in Thailand Using Satellite Data and Machine Learning Methods

Ronnakron Kitipacharadechatron, Nattapon Siwareepan, Wimonsiri Kachentorn, Padcharee Phasuk

The digital economy in Thailand has experienced significant growth over the past decade. With the adoption of financial technology, monitoring this rapid expansion poses challenges for policymakers, particularly in predicting the trajectory of such growth given data compilation constraints. This paper aims to predict digital transactions in Thailand by utilizing alternative economic data, such as satellite imagery, and applying machine learning approaches to support more proactive policymaking strategies. Monthly d …

07.09.2026journal-article

Clinical Pharmacology & Therapeutics

Constructing an External Control Arm Using the French REALYSA Cohort to Replicate Outcomes of a Randomized Trial Arm in Advanced Hodgkin Lymphoma

Olivia Febvey‐Combes, Cédric Rossi, Behrouz Kassai, Tesla Murairi Mirimo, Loïc Chartier, Fanny Cherblanc, Emeline Cugnod, Hervé Ghesquières, Aurélien Belot

External control (EC) arms using routine data can be used as comparators in clinical trials under certain conditions. The objective of this study was to assess the ability of an EC arm to replicate outcomes of a randomized controlled trial (RCT) arm receiving the same treatment strategy in advanced stage classical Hodgkin lymphoma and serve as comparator in future trials. Using the prospective real‐world data in lymphoma and survival in adults (REALYSA) cohort, we constructed an EC arm by applying eligibility crite …

07.09.2026journal-article

CAAI Artificial Intelligence Research

Anomaly Detection in Long-term Time Series with Transformer and Variational Autoencoder

Xiankun Shi, Yibo Li, Ziqi Wang, Junqi Zhang, Jing Bi, Nan Ma, Junfei Qiao

Abstract Anomaly detection is crucial for ensuring system reliability and providing early warnings of potential failures. However, long-term time-series anomaly detection remains challenging because anomalous events are rare, anomaly patterns are diverse, and temporal dependencies can extend across multiple scales. Traditional methods and existing deep learning models still struggle to jointly represent fine-grained temporal variation, long-range contextual information, and the distribution of normal patterns. This …

07.09.2026journal-article

Artificial Organs

The Effects of Hollow Fiber Membrane Configuration on Hemodynamic Characteristics, Oxygen Transfer Performance and Thrombosis Risk in Oxygenators: A Numerical Research

Anna Teng, Xingji Fu, Xiaofang Yang, Feilong Hei, Anqiang Sun, Zengsheng Chen

ABSTRACT Background The effects of hollow fiber membrane (HFM) configuration on hemodynamic characteristics, oxygen transfer performance, and thrombosis risk in oxygenators are not clear, and the present study was accomplished to investigate these effects. Methods Three micro‐scale 3D HFM array models were established, with the staggered angle between HFM layers ( Φ ), the spacing between HFMs ( d ), and the number of HFM layers ( n ) as variables. Computational fluid dynamics (CFD) was employed as a predictive too …

07.09.2026journal-article

Discover Artificial Intelligence

Asymmetric similarity aware object detection using Tversky YOLO for fine grained traffic sign recognition

Taha Ben-Abbou, Houda El Omrani, Khalid El Fazazy, Mohamed Mahraz, Hamid Tairi, Jamal Riffi

Abstract Traffic sign detection requires fine-grained discrimination among visually similar categories under occlusion, illumination variation, and extreme scale changes. Most modern detectors rely on symmetric inner-product classifiers that penalize missing expected features and extraneous activations equally. This assumption is poorly aligned with traffic sign semantics, where the absence of a diagnostic symbol is often more informative than incidental background responses. We propose Tversky-YOLO , a YOLO11m-bas …

07.09.2026journal-article

BMC Public Health

Adult hepatitis B vaccination coverage and infection prevalence in Lagos, Nigeria: findings from a facility-based world hepatitis day study

Fehintola Anthonia Ige, Paschal Mbanefo Ezeobi, Azuka Patrick Okwuraiwe, Omoladun Olukemi Odediran, Chika Leona Okoli, Stephnie Ogechi Nwaiwu, Ibukun Ruth Akande, Ebenezer Olusoji Odewale, Deborah Dunmade Oladipo, Chinasa Calista Onyeitu, Dominic Achanya, Adesesan Adesegun, Adetunji Mariam Adebukola, Chika Kingsley Onwuamah, Jeremiah Chiobi Iwuora, Adepeju Gbemi Ogunleye, Rosemary Ajuma Audu

Abstract Background Hepatitis B virus (HBV) infection is a vaccine-preventable disease, and the Global Health Sector Strategy on Viral Hepatitis aims to eliminate viral hepatitis as a public health threat by 2030. Vaccination is prioritized as a key intervention for achieving this goal. The Nigerian Institute of Medical Research (NIMR) conducts annual World Hepatitis Day campaigns to increase awareness and promote HBV prevention in line with global elimination efforts. This study assessed the impact and uptake of a …

07.09.2026journal-article

Societies

Marital Fidelity and Digital Infidelity in a UAE University-Affiliated Sample: An Exploratory Mixed-Methods Study

Dina Tahat, Nouf Awadh Almessabi, Wadha Alshamsi, Alanoud Alshamsi, Khalaf Tahat

This exploratory mixed-methods study examines self-reported perceptions of marital fidelity, marital infidelity, and digital boundary violations among adults recruited through one private university in the United Arab Emirates. Nationality or citizenship and direct socioeconomic indicators were not collected; participants are therefore described as a UAE university-affiliated sample rather than as Emirati or nationally representative. A quantitatively led design combined 156 complete questionnaires with 11 semi-str …

07.09.2026journal-article

Frontiers in Endocrinology

Impaired bone health after pediatric acute lymphoblastic leukemia treatment despite normal DXA: insights from high-resolution peripheral quantitative computed tomography

Nina Dominique Stahel, Nicole Bodmer, Aziz Chaouch, Etienne Sochett, Flavia M. Wehrle, Marianne Rohrbach, Camilla Saladin, HansJörg Häuselmann, Daniel Konrad, Nina Lenherr-Taube

Introduction Acute lymphoblastic leukemia (ALL) is the most common cancer in childhood. With improved survival rates, more attention has turned to long-term outcomes such as bone health. High-resolution peripheral quantitative computed tomography (HR-pQCT) allows a three-dimensional assessment of cortical and trabecular bone and may have advantages over standard dual-energy X-ray absorptiometry (DXA). The aim of this study was to evaluate whether HR-pQCT can detect early bone health impairment in children following …

07.09.2026journal-article

Frontiers in Public Health

The success-failure inversion in modern medicine

Madhur Mangalam, Jessica Fabianiak, Barry Cense

Twentieth-century medicine was most successful against diseases sharing a particular causal architecture: a discrete lesion standing in a relation of approximate necessity and sufficiency to a clinical syndrome, amenable to specific perturbation. Mortality from acute myocardial infarction has fallen by nearly 90 percent in the United States since 1970; pediatric leukemia has become survivable; HIV has become chronic. That success has shifted the residual burden toward conditions with a different architecture—late-l …

07.09.2026journal-article

ACADEMIA: Jurnal Inovasi Riset Akademik

BRIDGING THE DIGITAL DIVIDE IN EARLY CHILDHOOD EDUCATION: A MIXED-METHODS STUDY OF MANAGERIAL STRATEGIES AND TEACHER ADAPTATION IN IMPLEMENTING UNPLUGGED COMPUTATIONAL THINKING

Siti Fatimatun, Heni Puspitasari, Slamet Slamet

The success of educational transformation relies heavily on educator dedication, yet declining work enthusiasm and professional burnout remain critical issues in schools. This descriptive qualitative study aims to explore the role of principals' democratic leadership and psychological climate in fostering teachers' autonomous motivation and work engagement. A multi-case study approach was used to examine work interactions in primary and secondary schools. Data collection was conducted through in-depth interviews, p …

07.09.2026journal-article

Natural Resources for Human Health

Hepatoprotective potential of medicinal plants of Kazakhstan: a review

Alibek Ydyrys

Liver diseases represent a significant global health challenge, underscoring the need for safe and effective hepatoprotective agents from natural sources. Kazakhstan’s rich and diverse flora provides numerous medicinal plants traditionally used for liver ailments. This review evaluates the hepatoprotective potential of seven Kazakhstani species Glycyrrhiza glabra, Glycyrrhiza uralensis, Silybum marianum, Berberis heteropoda, Artemisia absinthium, Arctium lappa, and Arctium tomentosum focusing on their phytochemical …

07.09.2026journal-article

Debates em Psiquiatria

A continuidade do cuidado em saúde mental na perspectiva dos usuários: desafios da transição entre atenção especializada e atenção primária

Marcio Fernando da Silva, Ciro Blujus dos Santos Rohde, Hermano Tavares

Introdução: A transição do cuidado em saúde mental entre serviços especializados e a Atenção Primária à Saúde (APS) é um desafio para a continuidade assistencial, sobretudo em vínculos prolongados com serviços terciários. Objetivo: Analisar a percepção de usuários de um ambulatório terciário especializado em transtornos do impulso sobre a experiência de tratamento e a transição do cuidado para a APS. Método: Estudo exploratório qualitativo, com dados quantitativos descritivos, realizado com 14 usuários do Programa …

07.09.2026journal-article

Proceeding of International Conference on Digital, Social, and Science

Predicting The Detection Delay Of An ESP32-Based Fire Detection System Using Flame Sensor, MQ-2 Sensor, And Multiple Linear Regression.

Willnotus Daniel Awil03 AWIL, Candra Gudiato, Azriel Christian Nurcahyo, Charley Orilya Grasselly Alfa Delfiny Hartoyo Uray

Fire is one of the most common non-natural disasters that can cause significant material losses and threaten human safety. Therefore, an effective fire detection system is required to provide early warnings and minimize potential risks. This study proposes an Internet of Things (IoT)-based fire detection system integrated with a Flame Sensor, an MQ-2 gas sensor, an ESP32 microcontroller, the Blynk platform, and Telegram notifications for real-time monitoring and early warning. A Multiple Linear Regression model was …

07.09.2026journal-article

International Journal of Engineering Research and Technology

OPTIMIZATION OF COMPRESSIVE STRENGTH OF WOOD ASH CEMENT CONCRETE WITH BIDA NATURAL AGGREGATES USING ARTIFICIAL NEURAL NETWORK: A REVIEW

ABBAS, BALA ALHAJI, MUSA, IBRAHIM, ANDYAR, TSAVHEE ANDYAR

This paper aims to provide a comprehensive evaluation of current research on the Optimization of compressive strength of wood ash cement concrete with Bida natural aggregates using artificial neural network (ANN). The primary objectives are to assess the effectiveness of wood ash (WA) cement partial replacement, and Bida natural aggregates (BNA) in concrete production using ANN, and to ascertain the optimum replacement level of WA and future research directions. The methodology involves an extensive literature revi …

07.09.2026journal-article

Revista Chilena de Reumatología

Paquidermodactilia: a raíz de un caso clínico con sospecha de artritis idiopática juvenil

Erasmo Benavente O., Martín Valderrama W., Antonia Morales M., Camila Rivera C., Luis Muse R., Alejandro Badilla P.

Se presenta un caso de paquidermodactilia (PDD). La PDD es una entidad rara y benigna, caracterizada por el engrasamiento de partes blandas periarticulares de predominio lateral en los dedos, con compromiso más frecuente de las articulaciones interfalángicas proximales (IFP), y que afecta principalmente a hombres adoles­centes. En este paciente, el cuadro se desarrolló en el contexto de microtrauma periarticular repetitivo, tics persistentes de golpeteo digital y estiramiento de manos, conductas típicamente asociad …

07.09.2026journal-article

Applied Artificial Intelligence Research

Can Public Health Policies Drive Carbon Reduction? — Forecasting China's Carbon Emissions and Attribution of Policy Contributions Based on SHAP-BiLSTM

Haoyu Cheng, Yuanfang Du

Growing public health imperatives are accelerating carbon mitigation efforts, and carbon emission forecasting constitutes a critical foundation for assessing the feasibility of such measures. However, carbon emission data exhibit pronounced nonlinear and dynamically time-varying characteristics, rendering accurate prediction difficult for traditional econometric models, and existing studies lack quantitative assessment of public health policy contributions. This study proposes the SHAP-BiLSTM analytical approach to …

07.09.2026journal-article

Jurnal Ilmiah Pariwisata Kesatuan

Pengaruh Promosi Digital Dan Kualitas Pelayanan Terhadap Keputusan Pembelian Konsumen Pada Wisata Kuliner Bakso Kribo Di Kota Bogor

Jonathan Marcellinus Setiawan, Mashadi Mashadi, Rini Syarif, Zul Azhar

This study aims to empirically examine the effect of Digital Promotion and Service Quality on consumer Purchase Decisions at the Bakso Kribo outlet in Bogor City. This research uses a quantitative approach with data collection methods through the distribution of Likert-scale questionnaires. Sampling was conducted using a purposive sampling technique with a total of 150 respondents who are consumers of Bakso Kribo. Data were analyzed using the SPSS program through research instrument testing (validity and reliabilit …

07.09.2026journal-article

Journal of Pediatric Gastroenterology and Nutrition

Race and neighborhood factors influence clinical outcomes in children hospitalized with acute pancreatitis

Amy Fan, Elizabeth Baker, Chinenye R. Dike

Abstract Objectives Disparities impacting acute pancreatitis (AP) outcomes have been reported. Although racial/ethnic disparities are known in AP, geospatial disparities have been unexplored in pediatric AP. We aimed to investigate area level social determinant of health (SDOH) factors on pediatric AP outcomes. Methods This is a retrospective study of children hospitalized with AP over 5 years. Data including home addresses and zip codes were geocoded to determine area level factors for SDOH. Descriptive statistics …

07.09.2026journal-article

International Journal For Multidisciplinary Research

Exploring Gender Differences in Emotional Intelligence, Academic Stress, and Burnout Among College Students

Riyanka Paulson, Chaitanya Raigond, Reina Kurian, Pranisha R, Rakshini Udayashankar, Partiksha Chettri

Majority of college-level students report experiencing high levels of academic stress, which can lead to burnout. This study aims to analyze the relationship between emotional intelligence, academic stress, and burnout, and whether emotional intelligence works as the mediating variable. We employed quantitative research and bridged surveys with correlational studies to obtain responses from 201 students aged between 18 to 25 years from diverse cultural backgrounds. The results showed that those with higher EI exper …

07.09.2026journal-article

Journal of Internal Medicine

AA amyloidosis in the four historical monogenic autoinflammatory diseases: Clinical burden and insights from a retrospective referral‐centre study

Majdouline El Moussaoui, Léa Savey, Hassina Sofia Aloui‐Belhocine, Jean‐Jacques Boffa, Marion Delplanque, Catherine Grandpeix‐Guyodo, Irina Giurgea, Laurence Cuisset, Guilaine Boursier, Gilles Grateau, David Buob, Sophie Georgin‐Lavialle

Abstract Background AA amyloidosis (AAA) remains a life‐threatening yet largely preventable complication of monogenic autoinflammatory diseases (AIDs). Methods We retrospectively described patients with AAA secondary to one of the four historical monogenic AIDs (familial Mediterranean fever [FMF], cryopyrin‐associated periodic syndrome [CAPS], mevalonate kinase deficiency [MKD] and tumour necrosis factor receptor–associated periodic syndrome [TRAPS]) followed at the French National Referral Centre for Monogenic AID …

07.09.2026journal-article

ARACÊ

PREVALÊNCIA DE ANEMIA FALCIFORME E OUTRAS HEMOGLOBINOPATIAS EM RECÉM-NASCIDOS NA REDE PÚBLICA DO ESTADO DO PARÁ NO PERÍODO DE 2011 A 2015

Eliane Leite Da Trindade, Vitória Nazaré Costa Seixas, Elzelis Muller Da Silva, Thiago Nicolau Magalhães de Souza Conte, Rosemary Maria Pimentel Coutinho, Vera Regina da Cunha Menezes Palácios, Patrícia Danielle Lima De Lima

Este estudo determinou a prevalência da anemia falciforme e de outras hemoglobinopatias em recém-nascidos submetidos à triagem neonatal na rede pública do estado do Pará entre 2011 e 2015. Realizou-se um estudo transversal, descritivo e documental, baseado nos resultados de amostras de sangue seco em papel-filtro analisadas pelo Programa de Triagem Neonatal do Estado do Pará. No período, foram triadas 510.011 amostras. Identificaram-se 476.444 crianças (93,36%) com padrão normal de hemoglobina, 14.691 (2,88%) com t …

07.09.2026journal-article

Journal of Laparoendoscopic & Advanced Surgical Techniques

Clinical Relevance of Preoperative Upper Gastrointestinal Endoscopy before Sleeve Gastrectomy: A Retrospective Cohort Study of 30-Day Outcomes

Hasan Eroğlu, Ahmed Taha, İskender Eren Demirbaş, Özgür İbiş

Background: Routine preoperative upper gastrointestinal endoscopy before sleeve gastrectomy remains debated. This study evaluated whether selected endoscopic and histopathologic findings were associated with 30-day outcomes after sleeve gastrectomy, with specific attention to reflux-related events and severity-stratified staple-line leak. Methods: We retrospectively analyzed 315 adults who underwent laparoscopic sleeve gastrectomy at a tertiary referral center between June 2016 and December 2019. All patients under …