Results 141 to 150 of about 3,878,220 (198)

MEDS - An Emerging Data Standard and Ecosystem for Health AI Research. [PDF]

open access: yesNEJM AI
McDermott MBA   +27 more
europepmc   +1 more source

Enhancing Learning in Graduate Nursing Education Through a Co‐Designed AI Virtual Tutor: A Mixed‐Methods Evaluation

open access: yesJournal of Clinical Nursing, Volume 35, Issue 9, Page 3769-3783, September 2026.
ABSTRACT Background Large language model tools are increasingly used in higher education, offering opportunities to support self‐directed learning. In nursing education, course‐specific AI virtual tutors may provide contextualised support while addressing concerns about content accuracy and alignment; yet empirical evidence remains limited.
Charlene H. Chu   +9 more
wiley   +1 more source

A Deep Learning Model of Lightning Stroke Density

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 15, 16 August 2026.
Abstract Lightning plays a crucial role in the Earth's climate system; however, existing parameterizations for use in forecasting and earth system models show room for improvement in capturing spatial and temporal variations in its frequency. This study develops deep learning‐based parameterizations of lightning stroke density using meteorological ...
Randall Jones II   +3 more
wiley   +1 more source

Achieving ACGME Clinical Informatics Fellowship Accreditation: A Chronicle of Our Institution's Journey. [PDF]

open access: yesAppl Clin Inform
Chamala S   +6 more
europepmc   +1 more source

Attention‐Based Stochastic Simulation of Climate‐Informed Spatiotemporal Flood Risk for Multisite Insurance Portfolios

open access: yesGeophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Flood risk is correlated in space and time, challenging insurance systems that rely on diversification across assets. Financial instruments governing flood coverage are typically structured as 1–5‐year contracts, exposing portfolios to climate‐driven risk at interannual‐to‐decadal scales.
Adam Nayak, Pierre Gentine, Upmanu Lall
wiley   +1 more source

How Important Are the Critical Points in Selecting the Optimal Samples for Accurate Estimation of Subsurface Soil Moisture?

open access: yesGeophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract We propose a novel physics‐aware sampling framework to extract the most informative training instances (critical points) from the conventional 70% training data set using six diversified sampling strategies. These critical points are used to train a spectral Fourier Neural Operator (FNO) augmented with a lagged term to predict subsurface soil ...
Vidhi Singh   +2 more
wiley   +1 more source

A birth certificate for data to improve findability, accountability, and traceability. [PDF]

open access: yesNAR Genom Bioinform
Li R   +7 more
europepmc   +1 more source

[Reformed University Fellowship]

open access: yes
Photograph of a lawn sign reading "A rest stop for weary Christians" and "A safe place for the unconvinced." The sign was created by the Denton chapter of the Reformed University ...
Reformed University Fellowship
core  

CellTypeAI: cell annotation for scRNA-seq using local generative-AI. [PDF]

open access: yesBioinformatics
Daw RH   +3 more
europepmc   +1 more source

An international survey of undergraduate trainees' interests and expected teaching strategies in geriatric oncology. [PDF]

open access: yesBMC Med Educ
Zickermann R   +16 more
europepmc   +1 more source

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