OBJECTIVE: This study aimed to evaluate the coherence between data heterogeneity and model complexity by comparing seven convolutional neural network (CNN) architectures-trained with and without ImageNet pretraining-in a multiclass framework for the ... read more
PURPOSE: To evaluate the effects of loading dose and 12 months of faricimab treatment on visual function, retinal anatomy, and fluid dynamics in a real-world cohort of treatment-naïve patients with neovascular age-related macular degeneration (nAMD).... read more
Laparoscopic cholecystectomy is the gold standard for treating symptomatic gallstones. Despite established safety strategies, variability in their adoption leads to inconsistent outcomes. Artificial intelligence (AI) offers potential for real-time re... read more
A key challenge in medical decision making is learning treatment policies for patients with limited observational data. This challenge is particularly evident in personalized healthcare decision-making, where models need to take into account the intr... read more
AIM: To propose a normative framework that guides nursing professional organisations to act as human rights intermediaries in the governance of artificial intelligence in healthcare. DESIGN: Discursive paper. RESULTS: The paper presents a triaxial fr... read more
Critical reviews in food science and nutrition
Feb 19, 2026
Lactic acid bacteria (LAB) have transitioned from their traditional roles in food preservation and flavor enhancement to more advanced applications supported by synthetic biology, genome editing, and artificial intelligence (AI). This review provides... read more
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