Anatomy-Guided Hybrid CNN-ViT Model with Neuro-Symbolic Reasoning for Early Diagnosis of Thoracic Diseases Multilabel. [PDF]
Almughamisi N +3 more
europepmc +1 more source
Gendering Digitalization: Technology Change in Feminized Supermarket Work
ABSTRACT Digitalization is re‐shaping the way work is organized, yet processes of digitalization have largely been examined in male‐dominated workplace contexts like manufacturing and logistics, often with little reference to gender dynamics. This paper explores how workers experience digitalization in the context of a female‐dominated occupation, that
Laura Good, Rae Cooper, Meraiah Foley
wiley +1 more source
Ontology-driven dual-channel relational graph convolutional network (DCR-GCN) for lettuce leaf phenotype classification. [PDF]
Li T +7 more
europepmc +1 more source
Population‐Level Real‐World Healthcare Costs in Men and Women With Haemophilia A
ABSTRACT Introduction Even with modern prophylaxis options, people living with haemophilia have significantly lower quality of life and joint health outcomes than those without. Aim Our goal was to determine if real‐world health‐system costs are higher for people living with haemophilia A compared to those without and determine how joint‐health state ...
Sam Hirniak +6 more
wiley +1 more source
Speech analytics across the schizophrenia spectrum disorders: multimodal natural language processing and machine learning modelling in a Chinese-speaking population. [PDF]
Liu J +7 more
europepmc +1 more source
Wheat in North America harbours a diverse insect community (565 morphospecies were identified in this study), and pests represented <7% of specimens collected. Regenerative wheat management promoted insect diversity without increasing pest populations.
Daniel Pecenka +3 more
wiley +1 more source
Evaluating large language models for accuracy incentivizes hallucinations. [PDF]
Kalai AT, Nachum O, Vempala SS, Zhang E.
europepmc +1 more source
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang +8 more
wiley +1 more source
Infinite Mixture Chaining: An Efficiency-Based Framework for the Dynamic Construction of Word Meaning. [PDF]
Yu L, Xu Y.
europepmc +1 more source
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad +3 more
wiley +1 more source

