Artificial Intelligence in Neonatal Care: The Breadth of Promise, the Depth of Challenge—An Overview
ABSTRACT Artificial intelligence (AI) is becoming an integral tool in clinical care. The recent position statement by the Royal Australasian College of Physicians (RACP) provides a timely practical blueprint on implementing and monitoring the use of AI in clinical practice.
N. M. Lai +3 more
wiley +1 more source
Six degree of freedom quadcopter stabilization using self adaptive bonobo Pareto multi objective FLC with processor in the loop validation. [PDF]
Benhammou A +3 more
europepmc +1 more source
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
Research on depression diagnosis method based on multi-scale analysis of frontal lead EEG. [PDF]
Wang H, Kuang W.
europepmc +1 more source
Causal Inference in Clinical Research: A Primer
Causal inference helps researchers move beyond describing associations to answering the question: what would happen if an exposure were changed? This article provides an intuitive overview for applied researchers. ABSTRACT The study of causal relationships is central to scientific inquiry. Understanding what disease is, why it arises, and how it can be
Nasir Z. Bashir +3 more
wiley +1 more source
Effectiveness of ART optimization on viral load suppression in children and adolescents with HIV in Uganda: A quasi-experimental study. [PDF]
Nasuuna EM +4 more
europepmc +1 more source
Industrial Relations and Working From Home in Germany During the COVID‐19 Pandemic
ABSTRACT We investigate the role of industrial relations for working from home during and after the COVID‐19 pandemic in Germany. Using data from the German Socio‐Economic Panel (SOEP) for the years 2020 to 2023 and a special COVID sample (SOEP‐CoV) for 2020 and 2021, we examine how collective bargaining and plant‐level co‐determination are associated ...
Laszlo Goerke +3 more
wiley +1 more source
A neuro-fuzzy model for evaluating and predicting computational thinking skills of students. [PDF]
Filiz A.
europepmc +1 more source
Abstract Do immersion and nonimmersion learners’ English grammaticality judgment test (GJT) scores reflect the same underlying processes in language learning? Drawing on data from Chen and Hartshorne's (2021) study, we argue that they do not. Using generalized additive mixed models (GAMMs), we found that age of onset was the strongest predictor of GJT ...
Frans van der Slik, Roeland van Hout
wiley +1 more source
Wheat Soil-Borne Mosaic Virus Disease Detection: A Perspective of Agricultural Decision-Making via Spectral Clustering and Multi-Indicator Feedback. [PDF]
Hou X +7 more
europepmc +1 more source

