EUVIMEDEuropean Health Evidence
Uhr Sources10/10 Journal Tree
Easy Demo

European Health Evidence

The European alternative to PubMed

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.

EuropeanMultilingualInteroperableTraceable

EUVIMED BETA

EUVIMED is currently in beta

EUVIMED is under continuous development. Features, data coverage and presentation may change or be temporarily incomplete.

Results are beta

Search results, classifications, summaries and AI-assisted assessments may be incomplete, delayed or incorrect.

Check original sources

Do not use EUVIMED results without verification for diagnosis, treatment or other clinical decisions. Always consult the original source and applicable guidelines.

Errors and feedback help us improve EUVIMED: info@euvimed.com

EUVIMED Themenbrowser · Digital Health · Seite 136

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.

Themen erkunden

Aktuelle Forschung nach Fachgebiet

24 neue Nachweise auf dieser Seite Publiziert in den letzten 30 Tagen Neueste zuerst Crossref DOI
08.09.2026journal-article

Journal of Clinical Medicine

Covariation Between Palatal Shape and Craniofacial Morphology in Complete Unilateral Cleft Lip, Alveolus, and Palate: A Geometric Morphometric Study

Marek Skotarski, Andrzej Brudnicki, Anne Marie Kuijpers-Jagtman, Piotr S. Fudalej

Background/Objectives: Unilateral cleft lip, alveolus, and palate (UCLAP) is associated with disturbed maxillary and craniofacial growth, and palatal morphology may reflect congenital, growth-related, surgical, and orthodontic influences. This retrospective study used geometric morphometrics to investigate covariation between palatal and craniofacial morphology in children treated for complete UCLAP. Methods: Maxillary dental casts and lateral cephalometric radiographs of 48 non-syndromic patients (33 boys, 15 girl …

08.09.2026journal-article

International Journal of Anesthesia and Clinical Medicine

Anesthetic Management in Laparoscopic Surgery for Cholecystectomy at Brazzaville University Teaching Hospital, Republic of Congo

Mpoy Mayick, Niengo Gilles, Elion Pierlesky, Bayoundoula Ghislaine, Bokoba-nde Aurole, Tiafumu Christ, Tsouassa Giresse, Elombila Marie, Otiobanda Fabrice

Laparoscopic cholecystectomy has been considered the "gold standard" for the surgical treatment of symptomatic gallstone disease because it numerous advantages. However, this surgical technique presents specific anesthetic challenges. The aim of study was to describe the anesthetic management of laparoscopic cholecystectomies at the Brazzaville University Teaching Hospital (BUTH). This was a retrospective, cross-sectional study conducted from January 1, 2023 to April 30, 2025, at BUTH. All patients aged 15 years an …

08.09.2026journal-article

ALAM CIPTA International Journal Of Sustainable Tropical Design & Practice

The Negative Impact of Artificial Intelligence (AI) Usage on Landscape Architecture Students’ Memory Retention and Information Retrieval

Nurzuliza Jamirsah, Ibnatul Jalilah Yusof, Ayub Awang, Nurul Hawani Idris, Suzanna Noor Azmy

Despite the trending AI-usage surge phenomena, over 90% of lecturers in several Malaysian universities reported never receiving any training or guidance on incorporating generative AI tools into their teaching methods. Research trends from 2022 until 2026 indicated that most users had engaged with an AI chatbot daily and there is no sign that it will be halted soon. Lecturers are now exploring new techniques, such as using AI, to deliver lessons. But, research on how the use of AI can enhance student’s lesson reten …

08.09.2026journal-article

Clinical Practice and Cases in Emergency Medicine

Inferior Vena Cava Cement Migration with Pulmonary Cement Embolism: A Case Report

Christina Sneed Sneed, Syed Adnan

Introduction: Vertebral augmentation procedures, including vertebroplasty and kyphoplasty, can result in cement extravasation, which is often clinically silent. Less commonly, cement may migrate intravascularly into the inferior vena cava (IVC) and pulmonary arterial circulation, resulting in pulmonary cement embolism, a potentially life-threatening complication. Early recognition in the emergency department (ED) is essential to guide appropriate imaging, specialty consultation, and timely management. Case Report: …

08.09.2026journal-article

LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades

Timely management of a multidrug-resistant Staphylococcus aureus infection in a cat with feline leukemia (FeLV): A clinical case report

María Guadalupe Núñez Carrera, German Ubaldo López López, Karina Castelán Castañeda, Mari Carmen Larios García, Irma Erendira Meléndez Machorro

En las últimas décadas, la demanda de servicios médicos para gatos ha aumentado considerablemente, lo que resalta la importancia de que los médicos veterinarios cuenten con las herramientas diagnósticas y terapéuticas necesarias para atender oportunamente las patologías que afectan a esta especie. El objetivo de este trabajo fue documentar el seguimiento clínico de un gato diagnosticado con FeLV e infección cutánea por Staphylococcus aureus coagulasa positivo multirresistente, destacando la importancia del diagnóst …

08.09.2026journal-article

South African Journal of Information Management

Digital negligence when tertiary students surf the Internet and social media: Resulting in cyberbullying

Makungu Kubayi, Fani Radebe, Shopee Dube

Background: Many tertiary students experience harsh bullying online, which leaves victims with long-lasting side effects. With the rapid growth of digital tools around the globe, cyberbullying has become widespread. This study investigated the influence of students’ online privacy or digital footprint on cyberbullying vulnerability on the commonly used social media applications. Objectives: The research aims to uncover the risks imposed by a lack of online privacy and how digital footprints influence students’ vuln …

08.09.2026journal-article

Cancers

Clinical Outcomes and Prognostic Factors in Uterine Adenosarcoma: A Multicenter Retrospective Cohort Study

Atacem Mert Aytekin, Ipek Betul Ozcivit Erkan, Seyma Okumus, Bilgehan Saglik, Ayse Yavuz, Utku Akgor, Onur Can Zaim, Mert Urfalioglu, Banu Boso Aslantas, Hamdullah Sozen, Ghanim Khatib, Ilkbal Temel Yuksel, Merve Aldikactioglu Talmac, Abdullah Serdar Acikgoz, Tugan Bese, Oguzhan Kuru

Background/Objectives: Uterine adenosarcoma is a rare uterine malignancy with limited evidence on prognostic factors and long-term outcomes. We aimed to evaluate clinicopathological characteristics, treatment patterns, oncologic outcomes, and prognostic factors associated with disease-free survival (DFS) and overall survival (OS) in patients with uterine adenosarcoma. Methods: This multicenter retrospective cohort study included 43 patients with histopathologically confirmed uterine adenosarcoma who underwent prima …

08.09.2026journal-article

Journal of Home Economics Research

Awareness and Utilization of Artificial Intelligence Tools among Agricultural Education Lecturers within Universities in Enugu State

Ekenta Lilian U., Nwakile Toochukwu C., Okwo Chinyere R., Eya,, Chiamaka C., Ofoedu Sylvia I., Ogbonna Emeka K.

The study focused on awareness and utilization of AI tools among Agricultural education lecturers within universities in Enugu State. Specifically, it determined: level of awareness; extent of utilization of AI tools among the lecturers, challenges to adoption of the tools by the lecturers; strategies for improving AI utilizationn. The study adopted a survey research design. Area of study was Enugu State. Population comprises all 56 lecturers teaching agricultural education in public universities in the state. Ques …

08.09.2026journal-article

Journal of Asia Entrepreneurship and Sustainability

Impact Of Digital Marketing In Selling Over-The-Counter (Otc) Pharmaceutical Products In India: Emerging Trends, Challenges, And The Road Ahead

Pradeep Kumar Jha, Dr. Shailendra Kumar Jha

PurposeIndia’s pharmaceutical sector is expanding rapidly, with Over-the-Counter (OTC) products playing a growing role in healthcare access. This paper examines how digital marketing is shaping the promotion, awareness, and use of OTC medicines in India.Design/methodology/approachDigital platforms such as social media, e-commerce, influencer marketing, search engines, and health apps are evaluated. Emerging trends—including AI personalization, regional language content, telehealth integration, and gamification—are …

08.09.2026journal-article

Brazilian Journal of Health Review

TERAPIA CAR-T NO TRATAMENTO DA LEUCEMIA LINFOIDE AGUDA: AVANÇOS, BENEFÍCIOS E DESAFIOS CLÍNICOS

Emanoel José de Paula Neves, Gabriela de Souza Cordeiro Silva, Rayane Abrantes da Silva, Amanda Cristina dos Santos Silva

A Leucemia Linfoblástica Aguda (LLA) é uma neoplasia hematológica caracterizada pela proliferação descontrolada de linfoblastos imaturos, sendo a neoplasia maligna mais frequente na infância e responsável por aproximadamente 25% de todos os cânceres pediátricos. Apesar dos avanços terapêuticos com protocolos quimioterápicos estruturados em fases de indução, consolidação, intensificação e manutenção, uma parcela significativa dos pacientes evolui com recidiva ou refratariedade, representando as principais causas de …

08.09.2026journal-article

ACM Computing Surveys

A Survey on Foundation Models for Personalized Federated Intelligence

Yu Qiao, Huy Le, Avi Raha, Phuong-Nam Tran, Apurba Adhikary, Mengchun Zhang, Loc X. Nguyen, Eui-Nam Huh, Dusit (Tao) Niyato, Choong Seon Hong

The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. As prominent instances of foundational models (FMs), they exhibit remarkable capabilities in generating human-like content, pushing the boundaries towards artificial general intelligence (AGI). However, their large-scale nature, privacy sensitivity, and substantial computational demands pose significant challenges for personalized customization for end users. To bridge this gap, we present the vision of artif …

08.09.2026journal-article

World Journal of Clinical Infectious Diseases

Hepatitis B immune globulin to prevent hepatitis B recurrence after liver transplant: A single-center experience

Hiwot M Abate, Jennifer Byrns, Alec Martschenko, Lindsay Y King, Kara Wegermann

BACKGROUND Hepatitis B surface antigen (HBsAg) positive liver transplant (LT) recipients are at an increased risk for hepatitis B virus (HBV) recurrence without prophylaxis with hepatitis B immune globulin (HBIG), nucleos(t)ide analogue, or a combination. AIM To describe the use of HBIG in HBsAg positive LT recipients and explore the association between HBIG duration and HBV recurrence. METHODS We performed a retrospective, single-center cohort study of HBsAg positive LT recipients between January 1, 2016 and July …

08.09.2026journal-article

International Journal of Asian Social Science Research

Constructing an Adaptive Training Model for Electronic Information Postgraduates Using Causally Interpretable Artificial Intelligence

Xiyang Xue, Wenxue Xie, Jia Hu, Qingkan Zhang, Ziwei Wu, Tingyu Li, Shaojun Zhang

The cultivation of innovation capability in electronic information postgraduates faces multiple obstacles, including complex and nonlinear interactions among influencing factors and consistently delayed evaluation feedback. As a result, conventional training models cannot adapt dynamically to individual characteristics. To address this limitation, this paper proposes an adaptive training model grounded in causally interpretable artificial intelligence. First, a three-dimensional feature set encompassing individual …

08.09.2026journal-article

Aphorisme: Journal of Arabic Language, Literature, and Education

Hubungan Manajemen Atensi Pembelajaran Bahasa Arab Digital dengan Hasil Belajar Mahasiswa di Era Notifikasi

Salsabila Salsabila, M. Ripani Saputra

This study aimed to examine the relationship between attention management and learning outcomes in digital Arabic language learning and to explore students’ experiences in managing attention. An embedded mixed methods design was employed. The target population consisted of 162 second-, fourth-, and sixth-semester students of the Arabic Language Education Study Program at Imam Syafii Islamic Institute of Indonesia using total sampling. After data verification, 93 respondents were included in the quantitative analysi …

08.09.2026journal-article

Experimental and Clinical Endocrinology & Diabetes

Comparison of the clinical characteristics of new onset Graves’ disease before and during the Coronavirus disease 2019 era

Senem Boz Aksoy, Serhat Özçelik, Naile Gokkaya, Mithat Bıyıklı, Müge Yılmaz, Ece Seçgin Demir, Meryem Özoğlu, Kadriye Aydin

Abstract Introduction The aim of this study was to compare the clinical, biochemical, and disease control characteristics of newly diagnosed Graves’ disease (GD) before and during the coronavirus disease 2019 (COVID-19) era. Methods In this retrospective, single-center observational study, 95 patients with newly diagnosed GD between January 2015 and November 2024 were evaluated for thyroid function, autoantibody levels, antithyroid drug (ATD) doses, and disease control status. Patients diagnosed before January 2019 …

08.09.2026journal-article

Cells

Current Perspectives on the Role of Collagen Peptide Fragments in Health and Disease

Kenzi-Alayna Campbell, Sanjay P. Tirupattur, Gia Katwa, Laxmansa C. Katwa

Collagen is the most abundant protein in the human body and a vital component of the extracellular matrix (ECM), where it maintains structural architecture, strength, and mechanical stability throughout the body. Collagen undergoes continuous turnover and remodeling mediated by matrix metalloproteinases (MMPs) and other proteases to generate collagen peptide fragments (CPFs). CPFs were long considered inert byproducts of collagen turnover but are now recognized to have two overlapping roles: as circulating and urin …

08.09.2026journal-article

PLOS One

Supporting clinical guidelines for opioid conversion to methadone and tapering to prevent withdrawal in critically ill children using physiology based pharmacokinetic modeling and simulation

Marika A. de Hoop-Sommen, Sahar Alozai, Violette M. G. J. Gijsen, Tjitske M. van der Zanden, Henry T. Akinbi, Tomoyuki Mizuno, Alexander A. Vinks, Rick Greupink, Saskia N. de Wildt

Long-term opioid use is common in critically ill children and can cause withdrawal symptoms at discontinuation. To avoid withdrawal, short-acting opioids are usually converted into a long-acting drug, such as methadone, which is then carefully tapered. However, the exact conversion ratio and the optimal tapering protocol are unknown. This study aimed to design optimized conversion and tapering schedules of morphine and fentanyl to methadone for pediatric intensive care unit patients using physiologically-based phar …

08.09.2026journal-article

PLOS One

Assessing methods to identify Veterans Health Administration populations with Veterans Justice Programs contact to improve health research

Andrea K. Finlay, Ingrid Binswanger, Alex H.S. Harris, Matthew Stimmel, Mengfei Yu, Kreeti Singh, Jack Tsai

Military veterans with criminal legal involvement have a need for healthcare and housing to attenuate their risks of suicide, overdose, and homelessness. Links between criminal legal involvement and Veterans Health Administration (VHA) care are poorly understood, partly because it is challenging to correctly identify veterans with criminal legal involvement. This study’s primary objective was to assess VHA data sources and codes from the electronic health record that indicate contact with Veterans Justice Programs …

08.09.2026journal-article

Cuadernos de Derecho Privado

Aproximación al efecto disruptivo de la inteligencia artificial en la contratación del seguro: ¿un ejemplo de «gatopardismo»?

Rafael COLINA GAREA

La doctrina científica coincide en subrayar los efectos disruptivos que la implantación de la Inteligencia Artificial (IA) puede provocar en la contratación del seguro, llegando incluso a dudar si, como consecuencia de ello, los tradicionales esquemas sobre los que aquélla se asienta han quedado obsoletos y necesitan ser reemplazados por otros nuevos. El objeto del presente trabajo es averiguar si esta eventualidad resulta factible o se trata de una manifestación teórica fruto del inicial entusiasmo que suele carac …

08.09.2026journal-article

Advances in Economics, Management and Political Sciences

Gender Equality, Human Capital and Regional GDP: Contrasting Hangzhou's Digital Economy with Tangshan's Industrial Model

Hongrui Lu

As China's demographic dividend fades and per capita income enters the upper-middle-income range, sustaining growth depends increasingly on the intensive use of human capital rather than on expanding the labour force. Against this backdrop, workplace gender equality is required for China to develop in a high-quality manner under demographic pressure. Hangzhou and Tangshan are selected as case studies with different economic structures, and the impact of workplace gender equality on GDP per capita is studied. Hangzh …

08.09.2026journal-article

Information

Browser-Native Federated Inference on Existing Italian SSN Clinical Workstations: A Peer-to-Peer Sovereignty-Preserving AI Architecture for Italian Regional Health Networks

Alessandro Perrella, Silvia Pecoraro, Ada Maffettone, Paola Salvatore, Antonio D’Amore, Valerio Morfino, Massimo Bisogno

Clinical adoption of large language models (LLMs) in public healthcare faces a structural impasse: the capital expenditure of centralised high-performance computing on one side and the privacy risk of routing patient data through third-party cloud interfaces on the other. Italian local health authorities (Aziende Sanitarie Locali, ASL) operate large fleets of clinical workstations that remain idle outside peak administrative hours. We present OmniMed Federated, a browser-native architecture using the WebGPU applica …

08.09.2026journal-article

Communications in Humanities Research

Third-Person Perception and Corrective Behaviors Toward Health Misinformation in Algorithm-Recommended Environments

Jiawen Shao

During the outbreak of the novel coronavirus, the information environment has undergone tremendous changes, and the research on the spread of health misinformation has become very urgent. This study uses the third-person effect (TPE) theory and algorithmic literacy (AL) as an analytical framework to explore how users perceive the impact of health error information in the context of algorithmic recommendation, and whether individuals are willing to actively correct behavioral intentions. Therefore, this study combin …

08.09.2026journal-article

Artificial Intelligence in Gastrointestinal Endoscopy

Artificial intelligence for inflammatory bowel disease dysplasia detection: Current evidence and future directions

Ritesh Bhandari, Jack Gartlan, Philip Oppong, Puneet Chhabra

There is increasing interest in using artificial intelligence (AI) in the detection of dysplasia in patients with inflammatory bowel disease (IBD). However, the application of AI in this context is limited by dataset shift, lack of validation, and bias. The purpose of this review was to examine the role of AI in the detection of IBD-associated dysplasia through three different themes: Comparative performance, mechanisms of failure, and pathways for safe clinical application. Retrospective, prospective, and multicen …

08.09.2026journal-article

Artificial Intelligence in Medical Imaging

Artificial intelligence in healthcare: Technical advances, clinical integration, and future perspectives

Abdulkadir Yıldırım, Öner Özdemir

This narrative review examines the evolution of artificial intelligence (AI) in healthcare, with a focus on the transition from early rule-based systems to modern deep learning architectures and their integration into clinical practice. We examine foundational technologies, including convolutional neural networks for image interpretation, vision transformers for modeling long-range dependencies, and generative adversarial networks for image reconstruction and synthesis. The review further discusses the emergence of …