This chart shows a cohort-wise breakdown of patient demographic and disease status in healthcare systems around the world for each neurological status considered by the study during acute COIVD-19 hospitalization. Hutch et al 2024
Image Credit: Hutch et al
Research Articles
Mothers’ acceptability of using novel technology with video and audio recording during newborn resuscitation: A cross-sectional survey
PLOS Digital Health: published April 1, 2024 | https://doi.org/10.1371/journal.pdig.0000471
From “wading through treacle” to “making haste slowly”: A comprehensive yet parsimonious model of drivers and challenges to implementing patient data sharing projects based on an EPaCCS evaluation and four pre-existing literature reviews
PLOS Digital Health: published April 1, 2024 | https://doi.org/10.1371/journal.pdig.0000470
Infusing behavior science into large language models for activity coaching
PLOS Digital Health: published April 2, 2024 | https://doi.org/10.1371/journal.pdig.0000431
Implementation of mobile-health technology is associated with five-year survival among individuals in rural areas of Indonesia
PLOS Digital Health: published April 2, 2024 | https://doi.org/10.1371/journal.pdig.0000476
Predictive modeling of skin permeability for molecules: Investigating FDA-approved drug permeability with various AI algorithms
PLOS Digital Health: published April 3, 2024 | https://doi.org/10.1371/journal.pdig.0000483
Centering healthcare workers in digital health design: Usability and acceptability of two-way texting to improve retention in antiretroviral therapy in a public HIV clinic in Lilongwe, Malawi
PLOS Digital Health: published April 3, 2024 | https://doi.org/10.1371/journal.pdig.0000480
Deep learning to predict rapid progression of Alzheimer’s disease from pooled clinical trials: A retrospective study
PLOS Digital Health: published April 10, 2024 | https://doi.org/10.1371/journal.pdig.0000479
Predicting stress in first-year college students using sleep data from wearable devices
PLOS Digital Health: published April 11, 2024 | https://doi.org/10.1371/journal.pdig.0000473
Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
PLOS Digital Health: published April 15, 2024 | https://doi.org/10.1371/journal.pdig.0000474
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study
PLOS Digital Health: published April 15, 2024 | https://doi.org/10.1371/journal.pdig.0000484
Biomedical text readability after hypernym substitution with fine-tuned large language models
PLOS Digital Health: published April 16, 2024 | https://doi.org/10.1371/journal.pdig.0000489
Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study
PLOS Digital Health: published April 17, 2024 | https://doi.org/10.1371/journal.pdig.0000341
Three-dimensional imaging of the forearm and hand: A comparison between two 3D imaging systems
PLOS Digital Health: published April 18, 2024 | https://doi.org/10.1371/journal.pdig.0000458
Automated reporting of cervical biopsies using artificial intelligence
PLOS Digital Health: published April 22, 2024 | https://doi.org/10.1371/journal.pdig.0000381
Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality
PLOS Digital Health: published April 23, 2024 | https://doi.org/10.1371/journal.pdig.0000327
Opinion
PLOS-LLM: Can and should AI enable a new paradigm of scientific knowledge sharing?
PLOS Digital Health: published April 25, 2024 | https://doi.org/10.1371/journal.pdig.0000501