Results 141 to 150 of about 18,734 (258)
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai +8 more
wiley +1 more source
A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention. [PDF]
Akwiwu EU +3 more
europepmc +1 more source
Abstract Three novel taxa in the Coleofasciculales were observed in hot springs in Yellowstone National Park, Wyoming, United States, and in the Tabaconcito thermal springs on the Rio Tabacón in Costa Rica. Flavicapitulum vaporiphilum gen. et sp. nov. was located in a supported clade with Gracilinea and Marmoreocelis.
Jeffrey R. Johansen +3 more
wiley +1 more source
We present the first phylogenetic analysis of the Californian species of Myosurus. Our ddRADseq analysis reveals considerably more diversity than what was recognized in recent floristic treatments. Myosurus minimus subsp. apus was found to be a rare species restricted to Southern California and northwestern Baja California.
R. Douglas Stone +2 more
wiley +1 more source
Operational Markov matrix formulation for structures in continuum plasma models. [PDF]
Panday N, Sharma D.
europepmc +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams. [PDF]
Morsomme R +6 more
europepmc +1 more source
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source
A minimal chemo-mechanical Markov model for rotary catalysis of F<sub>1</sub>-ATPase. [PDF]
Chen Y, Grubmüller H.
europepmc +1 more source

