Results 101 to 110 of about 23,034 (235)

Machine Learning Approach Enables Highly Accurate Identification of At‐Risk Metabolic Dysfunction‐Associated Steatohepatitis

Hepatology Research, EarlyView.
ABSTRACT Aim At‐risk metabolic dysfunction‐associated steatohepatitis (MASH), characterized by significant activity and fibrosis, increases the risk of liver complications. Liver stiffness measurement (LSM), commonly used to detect significant fibrosis, has limitations in terms of accessibility and performance in certain populations.
Masaya Sato, Takuma Nakatsuka, Tatsuya Minami, Yotaro Kudo, Rie Irie, Hanako Tsujikawa, Takumi Kawaguchi, Hirokazu Takahashi, Yuichiro Eguchi, Eisuke Murakami, Kazuaki Chayama, Takeshi Okanoue, Michiie Sakamoto, Mitsuhiro Fujishiro, Kazuhiko Koike, Ryosuke Tateishi   +15 more
wiley   +1 more source

The Relations Between Pedagogical and Scientific Explanations of Algorithms: Case Studies from the French Administration [PDF]

The opacity of some recent Machine Learning (ML) techniques have raised fundamental questions on their explainability, and created a whole domain dedicated to Explainable Artificial Intelligence (XAI).
Pégny, Maël
core  

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

Dating Apps and the Right to an Explanation

Journal of Applied Philosophy, EarlyView.
ABSTRACT This article argues that in countries where dating apps have become the primary means of meeting romantic partners and promise to help users find love, individuals should be entitled to access certain information about how their algorithms function. Specifically, we advocate for a legal right to an explanation that addresses the following, not
Bouke de Vries, Kristian González Barman   +1 more
wiley   +1 more source

A Study Comparing Explainability Methods: A Medical User Perspective

Acta Electrotechnica et Informatica
In recent years, we have witnessed the rapid development of artificial intelligence systems and their presence in various fields. These systems are very efficient and powerful, but often unclear and insufficiently transparent.
Matejová Miroslava, Gojdičová Lucia, Paralič Ján   +2 more
doaj   +1 more source

XAI-Based Clinical Decision Support Systems: A Systematic Review

Applied Sciences
With increasing electronic medical data and the development of artificial intelligence, clinical decision support systems (CDSSs) assist clinicians in diagnosis and prescription.
Se Young Kim, Dae Ho Kim, Min Ji Kim, Hyo Jin Ko, Ok Ran Jeong   +4 more
doaj   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

The Effect of Artificial Intelligence in Promoting Positive Nursing Practice Environments: Mixed Methods Systematic Review

Journal of Clinical Nursing, EarlyView.
ABSTRACT Aim To synthesise the available evidence on the effect of artificial intelligence in promoting positive nursing practice environments, exploring outcomes for professionals, clients, and institutions. Background Artificial intelligence has undergone significant advancements and shows great potential to transform nursing practice.
Soraia Cristina de Abreu Pereira, Rosilene Alves Ferreira, João Miguel Ventura‐Silva, Eduardo José Ferreira Santos, Cintia Silva Fassarella, Olga Maria Pimenta Lopes Ribeiro   +5 more
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

‘Let Me Explain’: A Comparative Field Study on How Experts Enact Authority Over Clients When Facing AI Decisions

Journal of Management Studies, EarlyView.
Abstract With organizations increasingly relying on predictive artificial intelligence (AI) technologies for decision‐making, experts lose the authority to overrule AI‐generated decisions yet remain responsible for presenting them to clients. As experts depend on clients’ recognition and approval of decisions, this shift presents a critical disruption ...
Anne‐Sophie Mayer, Elmira van den Broek, Tomislav Karačić   +2 more
wiley   +1 more source