Reset
Showing 20 of 401 academic articles

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

Jamieson D Gray, Lukasz S Wylezinski, Charles F Spurlock • BMJ Health & Care Informatics (2026)

Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101761

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study

Christopher J Brady, R Chase Cockrell, Lindsay R Aldrich, Meraf A Wolle et al. • Journal of Medical Internet Research (2023)

BackgroundAs trachoma is eliminated, skilled field graders become less adept at correctly identifying active disease (trachomatous inflammation—follicular [TF]). Deciding if trachoma has been eliminated from a district or if treatment strat...

DOAJ Open Access (DOAJ) DOI: 10.2196/41233

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

Automated measurement of CD8+ T-cell distribution at the tumor epithelial–stromal interface is associated with NSCLC immunotherapy benefit and transcriptomic pathways

Patrick Leo, Hauke Kolster, Hartmut Koeppen, Jennifer Giltnane et al. • Journal of Pathology Informatics (2026)

Whereas anti-PD-(L)1 therapies are widely used in cancer treatment, only a subset of patients achieve long-term survival. Companion diagnostics based on PD-L1 expression have limited predictive power for these therapies, motivating developm...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jpi.2026.100688

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

Pitfalls in the use of whole slide imaging for the diagnosis of central nervous system tumors: A pilot study in surgical neuropathology

Melike Pekmezci, Sanem Pinar Uysal, Yelda Orhan, Tarik Tihan et al. • Journal of Pathology Informatics (2016)

Background: Whole slide imaging (WSI) finds increasingly higher value in everyday surgical pathology in addition to its well-established use for educational and research purposes. However, its diagnostic utility, especially in subspecialty ...

DOAJ Open Access (DOAJ) DOI: 10.4103/2153-3539.181769

Metabolic Flexibility to Predict Lifestyle Interventions Outcomes (MEPHISTO): Protocol for Predictive Validation Study and Randomized Controlled Trial

Monika Ludlova, Kateřina Koudelková, Jitka Pallova, Barbora Koudelkova et al. • JMIR Research Protocols (2025)

BackgroundWeight loss is a cornerstone of obesity treatment and diabetes mellitus type 2 (T2D) prevention, but its implementation in clinical practice is limited by its perceived burden and variability in response. Personalizing interventio...

DOAJ Open Access (DOAJ) DOI: 10.2196/67570

Cross-cultural adaptation and psychometric properties of the Kessler Scale of Psychological Distress to a traumatic brain injury population in Swahili and the Tanzanian Setting

Joao Ricardo Nickenig Vissoci, Silvia Daniela Vaca, Deena El-Gabri, Leonardo Pestillo de Oliveira et al. • Health and Quality of Life Outcomes (2018)

Abstract Background To evaluate the psychometric properties of a Swahili version of the Kessler Psychological Distress scale in an injury population in Tanzania. Methods Swahili version of the Kessler Psychological Distress scale was develo...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12955-018-0973-0

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

Development of a mobile application for emergency shift handovers using the National Early Warning Score

Iran dos Santos Barbosa, André Estevam Jaques, Cremilde Aparecida Trindade Radovanovic, Luciano de Andrade et al. • Revista Gaúcha de Enfermagem (2023)

ABSTRACT Objective: To develop and validate a prototype of a mobile application shift handover between nurses in the emergency room using a severity scale. Method: This is a technological tool carried out at the Universidade Estadual de...

DOAJ Open Access (DOAJ) DOI: 10.1590/1983-1447.2023.20220130.en

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis

Michael Barnett, Dongang Wang, Heidi Beadnall, Antje Bischof et al. • npj Digital Medicine (2023)

Abstract Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical relapses, no magnetic resonance imaging (MRI) disease activity and no disability worsening. While MRI is the principal tool available to neurologis...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-023-00940-6

Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition

Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics (2026)

Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40708-026-00319-9

Development and production of an oligonucleotide MuscleChip: use for validation of ambiguous ESTs

Lanfranchi Gerolamo, Teslovich Tanya M, Chen Yi-Wen, Toppo Stefano et al. • BMC Bioinformatics (2002)

Abstract Background We describe the development, validation, and use of a highly redundant 120,000 oligonucleotide microarray (MuscleChip) containing 4,601 probe sets representing 1,150 known genes expressed in muscle and 2,075 EST clusters...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-3-33

Prediction of the Leaf Primordia of Potato Tubers Using Sensor Fusion and Wavelength Selection

Ahmed Rady, Daniel Guyer, William Kirk, Irwin R Donis-González • Journal of Imaging (2019)

The sprouting of potato tubers during storage is a significant problem that suppresses obtaining high quality seeds or fried products. In this study, the potential of fusing data obtained from visible (VIS)/near-infrared (NIR) spectroscopic...

DOAJ Open Access (DOAJ) DOI: 10.3390/jimaging5010010

Peptide-functionalized periodic mesoporous silica nanoparticles for monocyte-specific TET3 Silencing enhance cardiac repair after acute myocardial infarction

Hao Jin, Jiandong Ding, Xiaoguo Zhang, Shouquan Cheng et al. • Journal of Nanobiotechnology (2025)

Abstract Modulating the balance between pro- and anti-inflammatory monocyte subsets holds therapeutic promise in acute myocardial infarction (AMI); however, effective and selective strategies are still lacking. In this study, we are the fir...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12951-025-03782-4

Isolation, characterization, and genomic analysis of a novel phage WSPA with lytic activity against Serratia marcescens

Lijuan Li, Kunkun Li, Yu Mi, Xiumei Wu et al. • Microbiology Spectrum (2025)

ABSTRACT Serratia marcescens is an established pathogen implicated in hospital-acquired infections and is notorious for its propensity to form biofilms on medical devices, leading to persistent environmental contamination and increased infe...

DOAJ Open Access (DOAJ) DOI: 10.1128/spectrum.02716-24