Smoking & Tobacco

Deep learning in histopathology images for prediction of oncogenic driver molecular alterations in lung cancer: a systematic review and meta-analysis.

BACKGROUND: Lung cancer (LC) is the second most diagnosed cancer and the leading cause of cancer mor...

[Artificial intelligence-based automated assessment of coronary flow reserve from angiography and the impact of different vasodilators].

To explore the feasibility of a coronary angiography-based method developed with artificial intelli...

AI for Tobacco Control: Identifying Tobacco-Promoting Social Media Content Using Large Language Models.

INTRODUCTION: Tobacco companies use social media to bypass marketing restrictions. Studies show that...

Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.

Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...

Smoking Status Normalization with Cross-Encoders and SNOMED CT.

Accurately documenting smoking status is essential for clinical decision-making and patient care. Ho...

Graph Neural Networks for Gleason Grading in Prostate Histopathology Images.

Prostate cancer is a leading cause of cancer-related deaths, with Gleason grading being key for asse...

A stretchable, adhesive, and wearable hydrogel-based patches based on a bilayer PVA composite for online monitoring of sweat by artificial intelligence-assisted smartphones.

Real-time monitoring of sweat using wearable devices faces challenges such as limited adhesion, mech...

M-GNN: A Graph Neural Network Framework for Lung Cancer Detection Using Metabolomics and Heterogeneous Graph Modeling.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection cr...

Past, Present and Future Perspectives of Forensic Genetics.

Forensic genetics has experienced remarkable advancements over the past decades, evolving from the a...

Neural Networks and Chemical Messengers: Insights into Tobacco Addiction.

This study investigates changes in resting-state networks (RSNs) associated with tobacco addiction (...

Investigating the correlation between smoking and blood pressure via photoplethysmography.

Smoking has been widely identified for its detrimental effects on human health, particularly on the ...

Cathodal Transcranial Direct Current Stimulation Does Not Change Implicit Associations Against Alcohol in Alcohol Use Disorder: A Preregistered Clinical Trial.

Addictive behaviour is shaped by the dynamic interaction of implicit, bottom-up and explicit, top-do...

The accuracy of automated facial landmarking - a comparative study between Cliniface software and patch-based Convoluted Neural Network algorithm.

BACKGROUND: Automatic landmarking software packages simplify the analysis of the 3D facial images. T...

Cytopathological quantification of NORs using artificial intelligence to oral cancer screening.

Oral squamous cell carcinoma (OSCC) remains the most prevalent neoplasm of the head and neck. In rec...

Patch-based convolutional neural networks for automatic landmark detection of 3D facial images in clinical settings.

BACKGROUND: The facial landmark annotation of 3D facial images is crucial in clinical orthodontics a...

DECA: harnessing interpretable transformer model for cellular deconvolution of chromatin accessibility profile.

The assay for transposase-accessible chromatin with sequencing (ATAC-seq) identifies chromatin acces...

Designing a Social Snus Cessation Mobile Application with an Integrated AI Function.

The application of artificial intelligence (AI) in healthcare is expected to be increased in the com...

Predicting Cardiovascular Disease Risk in Tobacco Users Using Machine Learning Algorithms.

Cardiovascular Diseases (CVDs) present a substantial global health burden, with tobacco use as a maj...

C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading.

Graph-based learning approaches, due to their ability to encode tissue/organ structure information, ...

Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks.

Diffeomorphic image registration is a fundamental step in medical image analysis, owing to its capab...

Artificial Intelligence Simulation of Adolescents' Responses to Vaping-Prevention Messages.