Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
While multispectral sensors offer a cost-effective and robust solution for monitoring plant responses to environmental stress, their limited spectral resolution, largely dependent on vegetation indices, can hinder accurate classification of stress severity using machine learning. This paper aims at overcoming these limitations by introducing a multispectral device for plant stress early detection ...
Cardiovascular diseases are among the leading causes of global mortality and morbidity, underscoring the need for accurate and explainable predictive models. This study aimed to develop and evaluate explainable AI models for predicting major cardiovascular events (MCVE) over 60 months. We conducted a secondary analysis of two large cohort studies nested within the Golestan (northeast Iran) and Par...
BACKGROUND: Cervical cancer is the fourth most common malignant tumor in women globally, with tobacco smoke being a major environmental risk factor. T...
BACKGROUND: Endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) is associated with risks such as endoleaks and late aneurysm ruptu...
BACKGROUND: Bronchiolitis is a leading cause of hospitalization in infants, yet early and accurate risk prediction remains a clinical challenge. Tradi...
Early detection of lung cancer remains one of the most effective strategies for improving survival; however, diagnostic performance is limited by vari...
Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Current DNA adductomics platforms or analytical workflo...
The paper deals with an application of machine learning algorithms to examine the impact of agricultural land-use types on COâ‚‚ emissions in Vietnam du...
CLINICAL RELEVANCE: Improved risk stratification in Graves ophthalmopathy (GO) may support earlier recognition of severe disease patterns and more ind...
INTRODUCTION: Lung cancer is commonly associated with smoking. However, if considered separately, lung cancer in never-smokers (LCINS) is the seventh ...
This study proposed a novel multimodal hierarchical fusion framework integrating a convolutional neural network (CNN) and a transformer. The approach ...
OBJECTIVES: Smoking remains a major preventable cause of lung and cardiovascular disease. This randomised controlled trial evaluated EILA, a mobile ap...
BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer ...
INTRODUCTION: Plant viruses inflict annual economic losses exceeding $30 billion and pose a significant threat to global food security. Discovering re...
BACKGROUND: Electronic cigarettes (e-cigarettes) have become popular in recent years, particularly among the youth and young adults. This study aims t...
OBJECTIVE: This study aimed to develop and externally validate an interpretable machine learning (ML) model for predicting postoperative complications...
BACKGROUND: Longitudinal serum uric acid (SUA) transition patterns and their clinical, genetic, and dietary determinants remain poorly characterized. ...
BACKGROUND: Deep learning-derived, chest radiographic (CXR) age may capture subclinical structural changes associated with spirometric impairment. RES...
Multiple sclerosis (MS) is a complex neurological disorder with inflammation, demyelination, and neurodegeneration in the CNS. Disease-modifying thera...
BACKGROUND: Smoking continues to be a leading cause of preventable morbidity and mortality, and more than 480,000 Americans die annually due to smokin...