Figure of both machine learning and human classifications of ventricular scar quantification. Navidi et al.
Image Credit: Navidi et al.
Research Articles
Safeguarding patients from technology-facilitated abuse in clinical settings: A narrative review
PLOS Digital Health: published January 4, 2023 | https://doi.org/10.1371/journal.pdig.0000089
Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients
PLOS Digital Health: published January 4, 2023 | https://doi.org/10.1371/journal.pdig.0000159
Informing antimicrobial stewardship with explainable AI
PLOS Digital Health: published January 5, 2023 | https://doi.org/10.1371/journal.pdig.0000162
Synthetic data in health care: A narrative review
PLOS Digital Health: published January 6, 2023 | https://doi.org/10.1371/journal.pdig.0000082
Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis
PLOS Digital Health: published January 11, 2023 | https://doi.org/10.1371/journal.pdig.0000174
Student peer mentoring: Feasibility and acceptability of mHealth-based tool for alcohol and substance abuse prevention by peer mentors at a university in Kenya
PLOS Digital Health: published January 12, 2023 | https://doi.org/10.1371/journal.pdig.0000177
External validity of machine learning-based prognostic scores for cystic fibrosis: A retrospective study using the UK and Canadian registries
PLOS Digital Health: published January 12, 2023 | https://doi.org/10.1371/journal.pdig.0000179
Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality
PLOS Digital Health: published January 18, 2023 | https://doi.org/10.1371/journal.pdig.0000188
Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment
PLOS Digital Health: published January 18, 2023 | https://doi.org/10.1371/journal.pdig.0000183
Mi PROTECT: A personalized smartphone platform to report back results to participants of a maternal-child and environmental health research cohort program in Puerto Rico
PLOS Digital Health: published January 18, 2023 | https://doi.org/10.1371/journal.pdig.0000172
ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries
PLOS Digital Health: published January 19, 2023 | https://doi.org/10.1371/journal.pdig.0000170
Welfare technology interventions among older people living at home—A systematic review of RCT studies
PLOS Digital Health: published January 24, 2023 | https://doi.org/10.1371/journal.pdig.0000184
Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale
PLOS Digital Health: published January 24, 2023 | https://doi.org/10.1371/journal.pdig.0000176
Non-equivalent, but still valid: Establishing the construct validity of a consumer fitness tracker in persons with multiple sclerosis
PLOS Digital Health: published January 25, 2023 | https://doi.org/10.1371/journal.pdig.0000171
Examining young adults daily perspectives on usage of anxiety apps: A user study
PLOS Digital Health: published January 26, 2023 | https://doi.org/10.1371/journal.pdig.0000185
Wearable sensor-based performance status assessment in cancer: A pilot multicenter study from the Alliance for Clinical Trials in Oncology (A19_Pilot2)
PLOS Digital Health: published January 26, 2023 | https://doi.org/10.1371/journal.pdig.0000178
Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging
PLOS Digital Health: published January 31, 2023 | https://doi.org/10.1371/journal.pdig.0000189