Academic Journal
Q1PLOS Digital Health
About PLOS Digital Health
PLOS Digital Health is a scholarly journal published by Public Library of Science. SCImago 2025 lists it in Q1, with an SJR of 1.789 and H-index of 37.
Coverage: 2022-2026. Research categories: Health Informatics (Q1).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2026-02-24. This snapshot does not establish today’s listing status or fee quotation.
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Source-backed journal facts
Topics in published research
Artificial Intelligence in Healthcare and Education; Mobile Health and mHealth Applications; Digital Mental Health Interventions; Machine Learning in Healthcare; Telemedicine and Telehealth Implementation; Electronic Health Records Systems.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
STREAM: A data-driven framework for physiological state monitoring in ICU patients
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2026-10-01 · DOI: 10.1371/journal.pdig.0001753Impacts of digital third-wave interventions for adults on wellbeing and mental health outcomes: A systematic review and meta-analysis of randomized controlled trials
Tom C. Gordon, Andrew H. Kemp, Josh Hope-Bell, Darren J. Edwards et al.
2026-10-01 · DOI: 10.1371/journal.pdig.0001764Artificial intelligence for evaluation of magnetic resonance imaging-detected extramural vascular invasion in rectal cancer
Haitao Huang, Lili Feng, Min-Er Zhong, Huifen Ye et al.
2026-10-01 · DOI: 10.1371/journal.pdig.0001763Value in app store metadata and user reviews: A dual perspective on quality of Parkinson’s and dementia apps
Isabel Schwaninger, Paria Ighanian, Liyousew Borga, Marijus Giraitis et al.
2026-10-01 · DOI: 10.1371/journal.pdig.0001730The use of artificial intelligence in assessing fever in the returning traveller: A scoping review
Bhavya Gandhi, Leo Morjaria, Imeth Illamperuma, Meha Bhatt et al.
2026-10-01 · DOI: 10.1371/journal.pdig.0001742Artificial intelligence for dysphagia screening: A machine learning approach
Rafaela Soares Rech, Carla Diniz Lopes Becker, Dieine Estela Bernieri Schiavon, Danielli Pires Vieira et al.
2026-09-29 · DOI: 10.1371/journal.pdig.0001755Foundation model-powered deep learning of endometrial histology for predicting the cumulative live birth of an in vitro fertilization cycle
Nianbo Xu, Andy Chun Hang Chen, Hanzhang Ruan, Donglin Yang et al.
2026-09-28 · DOI: 10.1371/journal.pdig.0001744Independent evaluation of machine learning and deep learning models for breast cancer detection
Deepthi, Ashalatha Nayak, Rani Oomman Panicker
2026-09-28 · DOI: 10.1371/journal.pdig.0001747Exploring needs and priorities in digital health management for rare disease patients and their caregivers: A mixed-methods study
Anita Burgun, Christina Khnaisser, Roxanne Dault, Jean-François Ethier et al.
2026-09-28 · DOI: 10.1371/journal.pdig.0001240Strategies for integrating artificial intelligence and cognitive assessment to predict disability progression in relapsing-remitting multiple sclerosis: A model development study
Chao Zhu, Xin Zhang, Anneke van der Walt, Bruce Taylor et al.
2026-09-25 · DOI: 10.1371/journal.pdig.0001722Optimizing accelerometer implementation in a gerotherapeutic trial: Feasibility, adherence, and operational insights of ABLE
Jessica K. Lu, Weilan Wang, Yi Ern Chew, Lihuan Guan et al.
2026-09-25 · DOI: 10.1371/journal.pdig.0001691A pre-post pilot feasibility study of the MindBia web-based nutrition intervention for individuals with severe mental illness: Study protocol
Ciara O’Sullivan, Tara Coppinger, Indika Dhanapala, Diarmuid Boyle et al.
2026-09-25 · DOI: 10.1371/journal.pdig.0001756Comparative predictive modeling of pediatric spirometry reference equations in Jordanian children: Complex versus simple models
Walid Al-Qerem, Anan Jarab, Judith Eberhardt, Khalda Smairan et al.
2026-09-25 · DOI: 10.1371/journal.pdig.0001746Artificial intelligence-related perceptions and E-health literacy among nursing students in Palestine: A cross-sectional study
Samar Thabet Jallad, Maysa Kassabry, Adel Taher Takruri
2026-09-25 · DOI: 10.1371/journal.pdig.0001737Augmenting patient safety surveillance in radiation oncology with large language model-based root cause analysis: A proof-of-concept study
Yuntao Wang, Mariluz De Ornelas, Matthew T. Studenski, Elizabeth Bossart et al.
2026-09-25 · DOI: 10.1371/journal.pdig.0001740Generative artificial intelligence–assisted medical self-care and associated factors among undergraduate students at Arsi University, South-Eastern Ethiopia
Jibril Bashir Adem, Anas Ali Alhur
2026-09-24 · DOI: 10.1371/journal.pdig.0001748Large-scale patterns of self-reported mood and sleep across the day and week on an online cognitive-training platform
Reina A. Mendoza, Andrew S. Tubbs, Michael L. Perlis, Fabian-Xosé Fernandez et al.
2026-09-24 · DOI: 10.1371/journal.pdig.0001754SYNERGY-VAE: An explainable generative deep learning framework for discovering depression subgroups from multimodal population health data
Divya Sharma, Alice Rueda, Qiaowei Lin, Shakila Meshkat et al.
2026-09-24 · DOI: 10.1371/journal.pdig.0001719Large language models for pneumonia detection in radiology reports via text analysis
Weisheng Chen, Xinya Li, Zhongkai Qu, Ting Liu et al.
2026-09-23 · DOI: 10.1371/journal.pdig.0001104PREFER-IT: A transdisciplinary co-created framework to realise inclusive health AI
Patrícia Pita Ferreira, Sara Soriano Longarón, Wiam Bouisaghouane, Jetse Goris et al.
2026-09-23 · DOI: 10.1371/journal.pdig.0001096Reviews
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September 25, 2026 at 7:13 am
September 25, 2026