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Showing 20 of 1,679 academic articles

Comparative assessment of patient education content generated by five large language models on post-stroke complications: A cross-sectional study of safety, accuracy, reliability, readability, and empathy

Long-Xian Liu, Huan-Huan Wang, Shuang Lu, Guo Yu et al. • Digital Health (2026)

Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261493266

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics

Ruimin Wang, Miaoshan Lu, Shaowei An, Jinyin Wang et al. • BMC Bioinformatics (2023)

Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-023-05525-4

Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors

Ariel A. Hippen, Dalia K. Omran, Lukas M. Weber, Euihye Jung et al. • Genome Biology (2023)

Abstract Background Single-cell gene expression profiling provides unique opportunities to understand tumor heterogeneity and the tumor microenvironment. Because of cost and feasibility, profiling bulk tumors remains the primary population-...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13059-023-03077-7

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Mário João Fartaria, Tobias Kober, Cristina Granziera, Meritxell Bach Cuadra • NeuroImage: Clinical (2019)

Purpose: The goals of this study were to assess the performance of a novel lesion segmentation tool for longitudinal analyses, as well as to validate the generated lesion progression map between two time points using conventional and non-co...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2019.101938

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool

Fabian Yap, Daniel Chan, Mei Chien Chua, Matthew Hadimaja et al. • BMJ Health & Care Informatics (2025)

Background Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study’s aim was to assess the performance of a length-weight artificial intelligence (...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101540

Classroom Management Strategies of Multigrade Schools with Emphasis on the Role of Technology

Taraneh Enayati, Farshideh Zameni, Mousa Movahedian • Interdisciplinary Journal of Virtual Learning in Medical Sciences (2016)

Introduction : It appears that the effectiveness of a multigrade school class is dependent on the type of class management. Therefore this study aims to determine the classroom management strategies in multigrade schools with emphasis on th...

DOAJ Open Access (DOAJ) DOI: 10.5812/ijvlms.12161

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Wenchuan Zhang, Shuwan Zhang, Fengling Li, Yuanyuan Zhao et al. • npj Digital Medicine (2026)

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02849-2

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making (2026)

Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-026-03461-w

An Integrated Approach for Designing and Analyzing Lumbar Vertebral Biomodels with Artificial Disc Replacement

Mhd Ayham Darwich, Katreen Ebrahem, Maysaa Shash, Hasan Mhd Nazha et al. • Applied Mechanics (2023)

This study aims to develop an integrated approach for 3D lumbar vertebral biomodel design and analysis, specifically targeting unilevel disc degeneration and the replacement of lumbar artificial discs. Key objectives include improving exist...

DOAJ Open Access (DOAJ) DOI: 10.3390/applmech4040063

Oxygen nanobubbles of ICG dimers achieve self-cascade photothermal and photodynamic therapy for hypoxia-reversible tumor treatment

Xiang Sun, Zheng Zhang, Moran Wang, Yuqin Chen et al. • Nano Research (2025)

Simultaneous photothermal and photodynamic therapies (PTT and PDT) hold great promise for noninvasive tumor therapy. However, effective regulation of PTT and PDT with optimal synergistic effects remains a challenge. To date, there are only ...

DOAJ Open Access (DOAJ) DOI: 10.26599/NR.2025.94907281

Exploring feature selection and classification methods for predicting heart disease

Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health (2020)

Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...

DOAJ Open Access (DOAJ) DOI: 10.1177/2055207620914777

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics (2023)

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100242

Modulation of frontal gamma oscillations improves working memory in schizophrenia

Fiza Singh, I-Wei Shu, Sheng-Hsiou Hsu, Peter Link et al. • NeuroImage: Clinical (2020)

Schizophrenia is a debilitating mental disorder that is associated with cognitive deficits. Impairments in cognition occur early in the course of illness and are associated with poor functional outcome, but have been difficult to treat with...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2020.102339

A novel and accelerated method for integrated alignment and variant calling from short and long reads

Jinnan Hu, Donald Freed, Hanying Feng, Hong Chen et al. • Frontiers in Bioinformatics (2026)

BackgroundIntegrating short- and long-read sequencing technologies has become a promising approach for achieving accurate and comprehensive genomic analysis. Although short-read sequencing (Illumina, etc.) offers high base accuracy and cost...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbinf.2025.1691056

Massive Open Online Courses (MOOCs): Data on higher education

Waleed Al-Rahmi, Ahmed Aldraiweesh, Noraffandy Yahaya, Yusri Bin Kamin et al. • Data in Brief (2019)

The data presented in this article are based on provides a systematic and organized review of 219 studies regarding using of Massive Open Online Courses (MOOCs) in higher education from 2012 to 2017. Consequently, the extant, peer-reviewed ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2018.11.139

Medical Informatics and eHealth

Paul J. McCullagh, Zheng Huiru, Norman D. Black, Richard John Davies et al. • Studies in health technology and informatics (2010)

Medical Informatics comprises the theoretical and practical aspects of information processing and communication, based on knowledge and experience derived from processes in medicine and healthcare. The processing takes place within computer...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-527-3-121