World journal of emergency surgery : WJES
Feb 7, 2026
AIM: To map and critically appraise the current literature on Artificial Intelligence (AI) applications in emergency general surgery, with a focus on clinical decision-support tools for preoperative risk stratification and intraoperative assistance, ... read more
OBJECTIVE: Idiopathic inflammatory myopathy (IIM) is a collection of autoimmune disorders marked by muscle inflammation, with heart failure (HF) being a common and deadly complication. Exploring the underlying mechanisms and diagnostic markers for HF... read more
Drug-drug interactions (DDIs) remain a major concern in medication safety. Although advanced artificial intelligence methods such as deep learning have improved DDI prediction, their adoption is limited by the need for specialized expertise and compl... read more
PURPOSE: Using artificial intelligence neural networks to generate a representation that maps the input directly to neurochemical concentrations and metabolite-level average transverse relaxation times (T2). METHODS: The proposed model used time-doma... read more
Drug-target residence time (τ) is reviewed from two perspectives: mathematics and molecular dynamics. The first focuses on the quantification of τ using a mathematical formalism applicable to different pharmacological mechanistic conditions. This for... read more
Internet adaptability on artificial intelligence (AI) healthcare platforms is a key factor influencing users' continued usage and the effectiveness of platform outcomes. It has emerged as a major challenge in the era of digital healthcare transformat... read more
Artificial intelligence (AI) is rapidly transforming digital, clinical, and cultural landscapes in ways that hold significant implications for body image and eating disorder (ED) prevention. This article outlines how traditional and generative AI tec... read more
Marine Pollution Bulletin increasingly applies machine learning and explainable AI to pollutant and shellfish poisoning risk, exemplified by PCA-based source apportionment and SHAP-based feature attribution. However, linear PCA may misrepresent struc... read more
BACKGROUND: The surgical extraction of impacted mandibular third molars present significant clinical challenges, where accurate preoperative assessment is crucial to mitigate risks such as Inferior Alveolar Nerve injury. Although artificial intellige... read more
Carotid artery calcifications (CACs), a known risk factor for stroke, can be detected on panoramic radiographs (PRs). However, this clinically significant pathophysiological condition has long been underdiagnosed due to insufficient training and expe... read more
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