Results 191 to 200 of about 33,606 (255)

From Patterns to Attractor‐Like Modes: A Systems Sensemaking Framework for Recurring Conflict in Healthcare Teams

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Recurring conflict in healthcare teams frequently persists despite well‐intended interventions (Page et al. 2024; Mazzei et al. 2024). Dynamic systems theory helps to map how such recurrences reflect systemic feedback loops linking individual experience, behaviour, shared beliefs and organisational structures, supporting intervention design at
Dominik Havsteen‐Franklin
wiley   +1 more source

Threats and vulnerabilities in artificial intelligence and agentic AI models. [PDF]

Front Artif Intell
Radanliev P, Santos O, Maple C.
europepmc   +1 more source

A Large Language Model‐Based Approach for Fault Detection and Its Application

Safety Science and Technology, EarlyView.
This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley   +1 more source

Point cloud generation adversarial network based on self-attention and curvature. [PDF]

PLoS One
Sun F, Shen C, Kong Y, Zhang Z, Hu M, Xiong F.   +5 more
europepmc   +1 more source

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

Thunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source

Few-shot crop pests and diseases recognition based on adversarial augmentation and task interpolation. [PDF]

Plant Methods
Wang K, Fei X, Su L, Fang T, Shen H.
europepmc   +1 more source

Understanding and Mitigating Bias From Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley   +1 more source

An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling Study. [PDF]

J Med Internet Res
Huet-Dastarac M, Dankar FK, Liu D, El Kababji S, Pilgram L, El Emam K.   +5 more
europepmc   +1 more source

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source