Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development by Imanol Pinto, Álvaro Olazarán, David Jurío, Borja De la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Javier Gorricho, Mikel Galar, Mikel Galar, José Andonegui, José Andonegui

“…At the University Hospital of Navarre (HUN), Spain, general practitioners (GPs) grade fundus images in an ongoing DR screening program, referring to a second screening level (ophthalmologist) target patients.MethodsAfter collecting their requirements, HUN decided to develop a custom AI tool, called NaIA-RD, to assist their GPs in DR screening. …”
Get full text

TEMPORALITY OF THE NARRATIVE OF CONTEMPORARY TRAVEL LITERATURE (Based on Cees Nooteboom’s work) by Olena I. Kretova, Pavlo V. Kretov

“…Nooteboom is represented in the deployment of simultaneous practices of narrative construction, the use of inversive game techniques and methods inherent in modern and postmodernism. In the later works, there is an influence of the aesthetics of metamodernism, in particular the principle of meta-axis.…”
Get full text

Fat-free noncontrast whole-heart cardiovascular magnetic resonance imaging with fast and power-optimized off-resonant water-excitation pulses by Adèle L.C. Mackowiak, Davide Piccini, Ruud B. van Heeswijk, Roger Hullin, Christoph Gräni, Jessica A.M. Bastiaansen

“…Conventional methods often fall short due to rapid fat signal recovery, leading to residual fat content hindering visualization. …”
Get full text

Combined use of super-resolution ultrasound imaging and shear-wave elastography for differential diagnosis of breast masses by Yu-Meng Lei, Chen Liu, Chen Liu, Hai-Man Hu, Nan Li, Ning Zhang, Qi Wang, Shu-E Zeng, Shu-E Zeng, Hua-Rong Ye, Ge Zhang, Ge Zhang

“…Super-resolution ultrasound (SRUS) imaging enhances microvascular visualization, aiding in the differential diagnosis of breast masses. …”
Get full text

Diagnostic capabilities of breast scintigraphy and molecular imaging of the mammary glands in the detection of various biological subtypes of breast cancer by N.  S. Popova, S. N.  Novikov, P.  I. Krzhivitskiy, L. A. Zhukova, P.  V. Krivorotko, A.  S. Artemyeva, A. E. Michnin, A. A. Valitova, V. V. Danilov, A. V. Chyornaya, T. T. Tabagua, Zh.  V. Bryantseva, I.  A.  Akulova, S.  V. Kanaev

“…The standard diagnostic methods such as mammography, ultrasound, and magnetic resonance tomography have a pivotal role in the detection of breast tumors, however, in some cases, they have low diagnostic accuracy. …”
Get full text

Enhancing Word Embeddings for Improved Semantic Alignment by Julian Szymański, Maksymilian Operlejn, Paweł Weichbroth

“…We also show how our method influences document class distributions, visualized through PCA projections. …”
Get full text

Assessment of the breast volume by a new simple formula by El-Oteify Mahmoud, Abdel Megeed Hosnia, Ahmed Bothaina, El-Shazly Mahmoud

“…Previous methods to measure breast volume have included use of a simple bra and breast cup size, cumbersome fluid displacement, appliances and approximate visual estimation. …”
Get full text

Network analysis of depressive symptoms, cognitive functioning, and life satisfaction among healthcare workers by Xiumei Hou, Yan Wang, Yang Wu, Qinge Shen, Ping Liu, Yunshuai Xu, Jicheng Dong, Yaping Wang, Yaping Wang, Min Chen, Min Chen, Jian Cui

“…This study used network analysis to explore the associations between depression, cognitive symptoms, and LS in healthcare workers.MethodsA total of 655 healthcare workers were assessed using the Patient Health Questionnaire (PHQ-9), the Perceived Deficits Questionnaire-Depression (PDQ-D), and the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF). …”
Get full text

Establishing an intraoperative, mobile CBCT-based workflow for gynecologic brachytherapy: primary experience and benefit assessment by Andre Karius, Andre Karius, Vratislav Strnad, Vratislav Strnad, Christoph Bert, Christoph Bert, Rainer Fietkau, Rainer Fietkau, Ricarda Merten, Ricarda Merten, Claudia Schweizer, Claudia Schweizer

“…Image quality was assessed by considering the applicator visualization and contrast–noise ratio (CNR) between tissues. …”
Get full text

Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study by Moustaq Karim Khan Rony, Sumon Ahmad, Dipak Chandra Das, Sabren Mukta Tanha, Tuli Rani Deb, Mosammat Ruma Akter, Mst. Amena Khatun, Md Ibrahim Khalil, Umme Rabeya Peu, Mst. Rina Parvin, Daifallah M. Alrazeeni, Fazila Akter

“…Aim This study aimed to explore nursing students' perceptions of incorporating AI into their clinical training and professional practice, with a focus on identifying benefits, challenges, and potential areas for improvement. Methods A qualitative descriptive design explored the experiences and attitudes of 25 nursing students from five colleges in Dhaka, Bangladesh. …”
Get full text

OBSCN undergoes extensive alternative splicing during human cardiac and skeletal muscle development by Ali Oghabian, Per Harald Jonson, Swethaa Natraj Gayathri, Mridul Johari, Ella Nippala, David Gomez Andres, Francina Munell, Jessica Camacho Soriano, Maria Angeles Sanchez Duran, Juha Sinisalo, Heli Tolppanen, Johanna Tolva, Peter Hackman, Marco Savarese, Bjarne Udd

“…OBSCN undergoes extensive and complex alternative splicing, which is the main reason that its splicing regulation associated with skeletal and cardiac muscle development has not previously been thoroughly studied. Methods We analyzed RNA-Seq data from skeletal and cardiac muscles extracted from 44 postnatal individuals and six fetuses. …”
Get full text

Scalable AI-driven air quality forecasting and classification for public health applications by Mohammad Wasil Jalali, Bahir Saidi, Habibullah Farahmand, Mohammad Aref Rezvan Panah, Eda Nur Saruhan

“…The research seeks to bridge the gap between AI advancements and their application in under-resourced regions by developing interpretable, deployable tools for real-world use. Methods We designed a hybrid AI framework that combines ensemble machine learning models such as Random Forest and XGBoost with deep learning architectures including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNNs), and the Transformer-based Time Series Mixer (TSMixer). …”
Get full text

Versatile clinical application of radial artery perforator flap for hand and wrist reconstruction by Jovanović Mladen, Nikolić Jelena, Komarčević Aleksandar, Mijatović-Jovanović Vesna, Stojičić Milan, Bjelan Sveto

“…The aim of this study was to summarize and analyze the results of the treatment of patients with upper extremity soft tissue defects caused by trauma, infection, burn, or tumor removal, which were re-constructed with RAPF. Methods. This retrospective study included 20 consecutive patients with skin and soft tissue defects of the hand and wrist, treated at the University Clinical Center of Vojvodina from 2012 to 2022. …”
Get full text

Modern Trends in the Digitalization of Higher Physical Education in China by Chen RUI

“…The article concludes by recommending a blended learning model for HPE, combining online theoretical instruction with in-person practical training to balance the benefits of both digital and traditional methods. It suggests that investments in technology infrastructure, ongoing research, and collaborations between educational institutions and government agencies are crucial to addressing these challenges and ensuring the successful digital transformation of HPE. …”
Get full text

One size doesn’t fit all: regional dynamics in pediatric emergency visits during the SARS-CoV-2 pandemic by Michelle Seiler, Gregory Biland, Oliver Gruebner, Oliver Gruebner, Sergio Manzano, Gianluca Gualco, Marc Sidler, Ursula Laasner, Julia Dratva, Julia Dratva, Michael von Rhein

“…This study aimed to analyze changes in pediatric ED catchment areas over time across three Swiss centers and explore implications for future healthcare crises.MethodsWe conducted a retrospective, longitudinal cohort study at three tertiary pediatric EDs in Zurich, Bellinzona, and Geneva, covering different language regions. …”
Get full text

Harnessing artificial intelligence to revolutionize vocational education: Emerging trends, challenges, and contributions to SDGs 2030 by Febri Prasetya, Aprilla Fortuna, Agariadne Dwinggo Samala, Dinda Khaira Latifa, Welli Andriani, Utari Akhir Gusti, Muhammad Raihan, Santiago Criollo-C, Deniz Kaya, Juan Luis Cabanillas García

Get full text

Global, Regional and National Burden of Low Back Pain in Adolescents Aged 10–19 years, 1990–2021: A Systematic Analysis of the Global Burden of Disease Study 20... by Wang S, Zhang S, Li M, Chen S, Chen Y, Song Y, Zhang X

“…Data analysis and visualization were performed using the R software (version 4.2.2).Results: In 2021, global 10– 19 years old had 38,476,826 (95% UI, 29,229,615– 49,665,830) incident LBP cases, 19,234,452 (95% UI, 14,487,990– 24,798,451) prevalent cases, and 4,205,995 (95% UI, 2,713,716– 5,947,074) total YLDs. …”
Get full text

Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study by Shelby T Desroches, Alice Huang, Rithvik Ghankot, Steven M Tommasini, Daniel H Wiznia, Frank D Buono

“…ObjectiveThe objective of the study was to survey and interview clinicians treating neurofibromatosis type 2–related schwannomatosis to understand their views on current 2D analysis and to gather insights for the design of an artificial intelligence–driven 3D volumetric analysis tool. MethodsInterviews examined for the following themes: (1) shortcomings of the currently used linear analysis, (2) utility of 3D visualizations, (3) features of an interactive 3D modeling software, and (4) lack of a gold standard to assess the accuracy of 3D volumetric analysis. …”
Get full text

Research hotspots and trends on NF-κB in cognitive impairment: a bibliometric analysis by Lin Bai, Lin Bai, Fangyuan Xu, Peijia Hu, Peijia Hu, Zhiqiang Shen, Zhiqiang Shen, Su Xingxing, Su Xingxing, Qingqing Wang, Qingqing Wang, Hongliang Cheng, Hongliang Cheng

“…However, no bibliometric analysis regarding the relationship between CI and NF-κB has been reported.MethodsA bibliometric analysis regarding NF-κB and CI from 1 January 2008 to 12 December 2023 was conducted in the Science Citation Index-Expanded of the Web of Science Core Collection. …”
Get full text

Automatic segmentation model and machine learning model grounded in ultrasound radiomics for distinguishing between low malignant risk and intermediate-high malignant risk of adnex... by Lu Liu, Wenjun Cai, Feibo Zheng, Hongyan Tian, Yanping Li, Ting Wang, Xiaonan Chen, Wenjing Zhu

“…Abstract Objective To develop an automatic segmentation model to delineate the adnexal masses and construct a machine learning model to differentiate between low malignant risk and intermediate-high malignant risk of adnexal masses based on ovarian-adnexal reporting and data system (O-RADS). Methods A total of 663 ultrasound images of adnexal mass were collected and divided into two sets according to experienced radiologists: a low malignant risk set (n = 446) and an intermediate-high malignant risk set (n = 217). …”
Get full text