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Smoking & Tobacco

Latest AI and machine learning research in smoking & tobacco for healthcare professionals.

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Video-based detection of cessation of breathing in pre-term infants using machine learning

Pre-term infants are susceptible to potentially harmful apnoea-related cessations of breathing due to immature respiratory control. However, reliable respiratory monitoring in the neonatal intensive care unit (NICU) remains challenging because motion artefacts, sensor displacement, and skin fragility can compromise contact-based measurements. Non-contact video monitoring offers a complementary app...

Jul 6 2026 2607.05230v1

Generative AI avatar videos for tobacco prevention on social media: a randomized controlled trial

Short-form video platforms increasingly shape how young audiences encounter health information. Generative artificial intelligence can produce standardized avatar-based messages at scale, but randomized evidence for tobacco prevention is scarce. In this three-arm randomized online intervention study with pre-post assessment, participants aged 16 years or older were assigned to an AI avatar video e...

Deep learning-based detection of cessation of breathing in pre-term infants

Apnoea of prematurity is characterised by recurrent episodes of cessation of breathing and remains difficult to detect reliably using routinely monito...

Jun 22 2026 2606.23213v1
InfantFace: Detecting infant faces in neonatal clinical environments

Reliable localisation of the neonatal face is the first step for several video-camera based non-contact assessments such as pain and distress related ...

Jun 18 2026 2606.20449v1
Optimisation of steatotic liver disease screening algorithm for resource-poor settings using machine learning

Background The European Association for the Study of the Liver (ESAL) - Steatotic Liver Disease (SLD) screening algorithm involves two steps; initial ...

DynoSys 2.0: Graph-Based Modeling of Dynamic Risk States and System Transitions in Human Behaviours Development

Human behavioral and mental health outcomes arise from interactions among genetic, environmental, and neurobiological systems. Existing frameworks oft...

Unified sampling framework and experimental benchmarking of sequence- and structure-based protein models

Generative models are increasingly used for protein design, but the lack of standardized evaluation frameworks limits comparison across model classes ...

Prediction of Alzheimer's Disease Risk Factors from Retinal Images via Deep Learning: Development and Validation of Biologically Relevant Morphological Associations in the UK Biobank

The systemic, metabolic, lifestyle factors have established associations with Alzheimer's Disease (AD) through epidemiologic and AD-specific biomarker...

May 1 2026 2605.00665v1
Machine Learning-Assisted Feature Selection Identifies the Joint Association of Body Mass Index and Periaortic Adipose Tissue as a Risk Factor for Aortic Dissection: A Multicenter Retrospective Study

BACKGROUND: Aortic dissection (AD) is a life-threatening emergency with high mortality. Although elevated body mass index (BMI) is associated with bot...

Feature-Based Parametric Response Mapping on Thoracic Computed Tomography for Robust Disease Classification in COPD

Purpose: To develop an interpretable feature-based Deep Parametric Response Mapping (PRMD) method that combines wavelet scattering convolution network...

A Machine Learning Based Causal Interface for Time-Varying Environmental Predictors of Substance Use Initiation in the ABCD Study

Background: The Adolescent Brain Cognitive Development (ABCD) Study provides rich longitudinal data on environmental, genetic, and behavioral factors ...

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures

Ask a frontier model how to taper six milligrams of alprazolam (psychiatrist retired, ten days of pills left, abrupt cessation causes seizures) and it...

Apr 9 2026 2604.07709v1
Cardiovascular Adverse Events After Definitive Chemoradiotherapy for Lung Cancer in an Appalachian Population: Incidence and Machine Learning Based Prediction

Background Cardiovascular adverse events (CVAEs) after chemoradiotherapy (CRT) for lung cancer are major concerns in Appalachia due to high rates of s...

Development and Pilot Validation of ABHA-O-SHINE: An AI-Ready Oral Health Risk and Insurance Prediction Framework within the Ayushman Bharat Digital Ecosystem

Background: Oral health remains inadequately integrated within the Ayushman Bharat Digital Mission (ABDM), particularly in terms of structured risk as...

Aging Signals on Chest Radiographs: Association of Chest Radiograph-Derived Age Acceleration With Future Lung Cancer Incidence

Purpose: To evaluate whether chest radiograph-derived age acceleration is associated with incident lung cancer and whether it improves discrimination ...

From Metabolomics to Function: Ranking Plant Stem Cell Metabolomes for Use in Health and Cosmetics

Background: Plants produce diverse metabolites with potential benefits for human health. However, the metabolomes of plant callus cultures-cell cultur...

AI-Driven Feature Selection Using Only Survey Variable Descriptions: Large Language Models Identify Adolescent Vaping Predictors

Objective: To evaluate the effectiveness of various Large Language Models (LLMs) in identifying reliable predictors of Electronic Nicotine Delivery Sy...

Sex-stratified Integrated Analysis of US lung Cancer Mortality, 1994-2020

Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, yet the relative influence of behavioral, environme...

Cognition, Lifestyles, and Environments: Quantifying the Roles of Body Physiology and the Brain

Lifestyle and environmental factors such as diet, physical activity, residential greenspace exposure, alcohol consumption, and sleep are increasingly ...

Cannabis Use Documentation within the Electronic Health Record: A Use Case for Natural Language Processing Methods

Introduction: Recreational and medical cannabis use (CU) information is often available within the electronic health record (EHR) in a format that is ...

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