This figure shows a process diagram showing clinical application time and AI task types of studies. It presents the different opportunities in the care paradigm where AI can be applied in a low-resource or teleradiology-first setting. Bunnell et al. 2025
Image Credit: Bunnell et al.
Research Articles
Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: A systematic review
PLOS Digital Health: published September 2, 2025 | https://doi.org/10.1371/journal.pdig.0000783
Accuracy of preferred language data in a multi-hospital electronic health record in Toronto, Canada
PLOS Digital Health: published September 3, 2025 | https://doi.org/10.1371/journal.pdig.0000999
Development and evaluation of a lightweight large language model chatbot for medication enquiry
PLOS Digital Health: published September 4, 2025 | https://doi.org/10.1371/journal.pdig.0000961
Evaluating the predictive accuracy of cognitive screeners BAMCOG and MoCA in identifying postoperative delirium risk in aortic valve replacement patients: A cohort study
PLOS Digital Health: published September 8, 2025 | https://doi.org/10.1371/journal.pdig.0001005
Evaluating anti-LGBTQIA+ medical bias in large language models
PLOS Digital Health: published September 8, 2025 | https://doi.org/10.1371/journal.pdig.0001001
Consent-driven, semi-automated data collection during birth and newborn resuscitation: Insights from the NewbornTime study
PLOS Digital Health: published September 8, 2025 | https://doi.org/10.1371/journal.pdig.0000730
Digital healthcare interventions to support parents with acutely ill children at home: A systematic review
PLOS Digital Health: published September 15, 2025 | https://doi.org/10.1371/journal.pdig.0000998
Explainable cluster-based learning for prediction of postprandial glycemic events and insulin dose optimization in type 1 diabetes
PLOS Digital Health: published September 16, 2025 | https://doi.org/10.1371/journal.pdig.0000996
Classifying simulated gait impairments using privacy-preserving explainable artificial intelligence and mobile phone videos
PLOS Digital Health: published September 16, 2025 | https://doi.org/10.1371/journal.pdig.0001004
Design approaches for developing quality checklists in healthcare organizations: A scoping review
PLOS Digital Health: published September 16, 2025 | https://doi.org/10.1371/journal.pdig.0001015
Digital access, transportation, and women’s empowerment in breast cancer screening uptake among Cambodian women: Analysis of the Cambodia demographic and health survey 2021–2022
PLOS Digital Health: published September 17, 2025 | https://doi.org/10.1371/journal.pdig.0000976
Integrating multiple data sources to predict all-cause readmission or mortality in patients with substance misuse
PLOS Digital Health: published September 18, 2025 | https://doi.org/10.1371/journal.pdig.0001008
Predicting patient enrollment in a telephone-based principal care management service using topic modeling
PLOS Digital Health: published September 18, 2025 | https://doi.org/10.1371/journal.pdig.0000992
Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy
PLOS Digital Health: published September 22, 2025 | https://doi.org/10.1371/journal.pdig.0001019
Ranking and selecting hospital information systems: A multi-criteria decision making approach using TOPSIS in Hamadan, Iran
PLOS Digital Health: published September 23, 2025 | https://doi.org/10.1371/journal.pdig.0001016
Exploring the clinical utility of rhythmic digital markers for schizophrenia
PLOS Digital Health: published September 23, 2025 | https://doi.org/10.1371/journal.pdig.0001010
Detection of pneumonia in children through chest radiographs using artificial intelligence in a low-resource setting: A pilot study
PLOS Digital Health: published September 24, 2025 | https://doi.org/10.1371/journal.pdig.0000713
Digital health interventions for colorectal cancer screening uptake: A scoping review
PLOS Digital Health: published September 25, 2025 | https://doi.org/10.1371/journal.pdig.0001028
Individualized machine-learning-based clinical assessment recommendation system
PLOS Digital Health: published September 25, 2025 | https://doi.org/10.1371/journal.pdig.0001022
mHealth technologies in research studying cardiovascular health in cancer: A systematic review
PLOS Digital Health: published September 25, 2025 | https://doi.org/10.1371/journal.pdig.0001027
Identification of physiological adverse events using continuous vital signs monitoring during paediatric critical care transport: A novel data-driven approach
PLOS Digital Health: published September 25, 2025 | https://doi.org/10.1371/journal.pdig.0000822
Artificial intelligence applications in refractive error management: A systematic review and meta-analysis
PLOS Digital Health: published September 25, 2025 | https://doi.org/10.1371/journal.pdig.0000904
Self-contrastive weakly supervised learning framework for prognostic prediction using whole slide images
PLOS Digital Health: published September 30, 2025 | https://doi.org/10.1371/journal.pdig.0000972
Waldo: Automated discovery of adverse events from unstructured self reports
PLOS Digital Health: published September 30, 2025 | https://doi.org/10.1371/journal.pdig.0001011
Correction
Correction: GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors
PLOS Digital Health: published September 3, 2025 | https://doi.org/10.1371/journal.pdig.0001000
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PLOS Digital Health: published September 30, 2025 | https://doi.org/10.1371/journal.pdig.0001025
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Opportunistic use of artificial intelligence with X-ray imaging for diagnosis of HIV status in tuberculosis patients in Uganda and Tanzania
PLOS Digital Health: published September 2, 2025 | https://doi.org/10.1371/journal.pdig.0000988