Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models. [PDF]
Moulaei K +14 more
europepmc +1 more source
Dating Apps and the Right to an Explanation
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 +1 more
wiley +1 more source
Machine Learning-Based Interpretable Screening for Osteoporosis in Tuberculosis Spondylitis Patients Using Blood Test Data: Development and External Validation of a Novel Web-Based Risk Calculator with Explainable Artificial Intelligence (XAI). [PDF]
Yasin P, Ding L, Mamat M, Guo W, Song X.
europepmc +1 more source
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
The Sociology of AI as an Emerging Field: Mapping Tensions and Boundaries
ABSTRACT The expanding role of artificial intelligence (AI) in social life compels a foundational reassessment of sociology's concepts, methods, and theoretical commitments. From generative language models to predictive policing, AI systems are no longer mere tools but increasingly agentic, opaque, and normative sociotechnical actors.
Canhui Liu
wiley +1 more source
The Value of Forecasters‐in‐the‐Loop in Real‐Time Flood Forecasting in the Age of Machine Learning
Abstract Machine learning (ML) applications in hydrological forecasting are increasingly prevalent and show great potential. However, many previous studies have only evaluated performance through reanalysis or retrospective simulations compared to simplified baselines.
Vinh Ngoc Tran +7 more
wiley +1 more source
Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study. [PDF]
Liu X +7 more
europepmc +1 more source
Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI). [PDF]
Yasin P +6 more
europepmc +1 more source

