AIMC Topic: Electronic Nicotine Delivery Systems

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Exploring the ChatGPT platform with scenario-specific prompts for vaping cessation.

Tobacco control Apr 1, 2025
OBJECTIVE: To evaluate and start a discussion on the potential usefulness of applying Artificial Intelligence (AI)-driven natural language processing technology such as the ChatGPT in tobacco control efforts, specifically vaping cessation.
Artificial Intelligence Generative Artificial Intelligence Motivation Humans Substance Withdrawal Syndrome Tobacco Use Cessation Devices Tobacco Use Cessation Vaping Electronic Nicotine Delivery Systems Smoking Cessation
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Identification and Classification of Images in e-Cigarette-Related Content on TikTok: Unsupervised Machine Learning Image Clustering Approach.

Substance use & misuse Dec 30, 2024
BACKGROUND: Previous studies identified e-cigarette content on popular video and image-based social media platforms such as TikTok. While machine learning approaches have been increasingly used with text-based social media data, image-based analysis ...
Vaping Electronic Nicotine Delivery Systems Humans Image Processing, Computer-Assisted Cluster Analysis Social Media Unsupervised Machine Learning
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Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022.

International journal of environmental research and public health Nov 6, 2024
Feature selection is essentially the process of picking informative and relevant features from a larger collection of features. Few studies have focused on predictors for current e-cigarette use among U.S. adults using feature selection and machine l...
Adult Male Middle Aged Female Aged Young Adult Vaping Electronic Nicotine Delivery Systems Adolescent Logistic Models United States Humans Machine Learning Algorithms
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Quantification of Size-Binned Particulate Matter in Electronic Cigarette Aerosols Using Multi-Spectral Optical Sensing and Machine Learning.

Sensors (Basel, Switzerland) Nov 3, 2024
To monitor health risks associated with vaping, we introduce a multi-spectral optical sensor powered by machine learning for real-time characterization of electronic cigarette aerosols. The sensor can accurately measure the mass of particulate matter...
Humans Electronic Nicotine Delivery Systems Particulate Matter Vaping Aerosols Neural Networks, Computer Machine Learning Particle Size
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Forecasting vaping health risks through neural network model prediction of flavour pyrolysis reactions.

Scientific reports May 8, 2024
Vaping involves the heating of chemical solutions (e-liquids) to high temperatures prior to lung inhalation. A risk exists that these chemicals undergo thermal decomposition to new chemical entities, the composition and health implications of which a...
Pyrolysis Vaping Electronic Nicotine Delivery Systems Humans Neural Networks, Computer Flavoring Agents
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Protocol for the operation of a breathing and vaping biomimetic robot to delineate real-time inhaled particle profile of electronic cigarettes.

STAR protocols Nov 30, 2022
We recently developed a robotic human vaping mimetic real-time particle analyzer (HUMITIPAA) to evaluate the impact of change in chemical constituents and breathing profiles of electronic cigarettes (ECs) on potential pulmonary toxicity. Here, we des...
Data Collection Vaping Electronic Nicotine Delivery Systems Humans Robotics Biomimetics
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Dynamic Imaging and Characterization of Volatile Aerosols in E-Cigarette Emissions Using Deep Learning-Based Holographic Microscopy.

ACS sensors Jun 3, 2021
Various volatile aerosols have been associated with adverse health effects; however, characterization of these aerosols is challenging due to their dynamic nature. Here, we present a method that directly measures the volatility of particulate matter ...
Aerosols Electronic Nicotine Delivery Systems Propylene Glycol Deep Learning Microscopy
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In vitro and in silico genetic toxicity screening of flavor compounds and other ingredients in tobacco products with emphasis on ENDS.

Journal of applied toxicology : JAT Jul 13, 2020
Electronic nicotine delivery systems (ENDS) are regulated tobacco products and often contain flavor compounds. Given the concern of increased use and the appeal of ENDS by young people, evaluating the potential of flavors to induce DNA damage is impo...
Models, Molecular DNA Damage Flow Cytometry Tumor Suppressor Protein p53 Flavoring Agents Quantitative Structure-Activity Relationship Humans Rats Machine Learning Cell Line Biomarkers Phosphorylation Consumer Product Safety Animals Mutagenicity Tests Risk Assessment Histones Mice Electronic Nicotine Delivery Systems
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Differences between Dual Users and Switchers Center around Vaping Behavior and Its Experiences Rather than Beliefs and Attitudes.

International journal of environmental research and public health Dec 23, 2017
(1) Background: Many smokers completely switch to vaping (switchers), whereas others use e-cigarettes (e-cigs) alongside tobacco cigarettes (dual users). To the extent that dual users substantially lower the number of cigarettes, they will reduce hea...
Nicotine Tobacco Smoke Pollution Male Electronic Nicotine Delivery Systems Tobacco Products Vaping Humans Middle Aged Smoking Cessation Smoking Attitude Female Surveys and Questionnaires Adult
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Method for the Determination of Carbonyl Compounds in E-Cigarette Aerosols.

Journal of chromatographic science Oct 7, 2016
Low levels of thermal degradation products such as carbonyls (formaldehyde, acetaldehyde, acrolein, crotonaldehyde) have been reported in e-cigarette aerosols. The collection and analysis of e-cigarette aerosol carbonyls are often adapted from method...
Equipment Design Gas Chromatography-Mass Spectrometry Aldehydes Models, Theoretical Hot Temperature Aerosols Electronic Nicotine Delivery Systems
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