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Smoking & Tobacco

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

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Showing 181-200 of 1,706 articles

Plasma proteomic profiles of lung volume-based phenotypes in Tobacco-Exposed Individuals Without Spirometric COPD.

BACKGROUND: Among individuals with a history of smoking but preserved spirometry (tobacco exposed with preserved spirometry, or TEPS), lung volume-based stratification identifies two phenotypes at increased risk for COPD (pre-COPD): those with a relatively elevated total lung capacity ([TLC]high) and those with a relatively elevated functional residual capacity-to-TLC ratio ([FRC/TLC]high). These ...

Mar 3 2026 41776818

Integration of circulating tumor DNA data enhances lung cancer prediction in patients with COPD.

Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of lung cancer, and the identification of circulating tumor DNA (ctDNA) mutations may help detect lung cancer in them. However, whether the addition of ctDNA information improves lung cancer prediction remains to be elucidated. Blood samples from 236 patients with COPD (119 with lung cancer and 117 without lung cancer...

Mar 3 2026 41776328
A predictive model for significant periodontal disease progression: A large-scale cohort study.

BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop and validate a machine learning model to identify ...

Mar 1 2026 41108776
Alcohol Policies in the Association of Southeast Asian Nations Region-Challenges, Opportunities and Moving Forward.

The Association of Southeast Asian Nations (ASEAN) region saw an increase in alcohol-attributable deaths attributed to the rise in consumption over th...

Mar 1 2026 41742727
Evaluation of Generative Artificial Intelligence Safeguards Against the Creation of Images and Videos Harmful to Public Health.

OBJECTIVES: As generative artificial intelligence (AI) continues to advance, an environment that lacks strong safeguards could create opportunities fo...

Feb 26 2026 41747768
Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data.

Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine ...

Feb 25 2026 41746699
Familial colorectal cancer: risk factors, screening strategies and personalized medicine.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approximately 25-30 % of cases exhibiting a familial compo...

Feb 23 2026 41771225
Oral Nicotine Product Use and E-Cigarette Use Persistence in Adolescents and Young Adults: An Analysis Using Augmented Inverse Probability Weighting.

The impact of oral nicotine product (ONP) use on e-cigarette use persistence among adolescents and young adults (AYA) remains unclear. We applied augm...

Feb 21 2026 41721514
Negative correlation between habenular volume and duration of gambling disorder: Modulation by symptom severity and personality traits.

BACKGROUND AND AIMS: Gambling disorder (GD) patients continue to gamble despite negative consequences, and this behavior can be partly attributed to t...

Feb 20 2026 41718719
[Dual role of tea consumption in gastrointestinal disease risks: analysis using a risk prediction model integrating interpretable machine learning and large language model].

OBJECTIVES: To explore the correlation of tea consumption with risks of gastrointestinal diseases using a risk prediction model integrating interpreta...

Feb 20 2026 41633692
Quantum-Transport Informed Machine Learning for Identifying Tobacco-Induced Regioisomeric DNA Adducts.

Tobacco smoke contains a complex array of genotoxic carcinogens that form structurally diverse DNA adducts, driving mutagenesis and carcinogenesis. Am...

Feb 17 2026 41703778
An online machine learning model for predicting medication adherence in hypertensive patients: data from the China health and retirement longitudinal study (CHARLS).

INTRODUCTION: Hypertension, a leading global cause of death with high prevalence and poor control, faces a critical issue of poor medication adherence...

Feb 17 2026 41701300
Assessment and AI-Based Prediction of Complications in Reduction Mammoplasty: A Combined Statistical and Fuzzy Inference Approach in a 10-Year Cohort from Tehran Hospitals (2013-2023).

INTRODUCTION: Gigantomastia causes physical, psychological, and dermatological issues, often with ptosis; reduction mammoplasty effectively relieves s...

Feb 17 2026 41703067
Epidemiological Trajectories and Quality of Care Disparities of MASLD in Asia, 1990-2023.

BACKGROUND: To characterize temporal and geographic patterns of metabolic dysfunction-associated steatotic liver disease (MASLD) across Asia from 1990...

Feb 16 2026 41697511
Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression.

Maternal postpartum depression (PPD) is a significant mental health issue that affects over 15% of mothers, with adverse effects on their children. Et...

Feb 16 2026 41692884
Utilisation of intramuscular and intermuscular fat to develop a new skeletal muscle grading score which can predict treatment outcomes for locally advanced rectal cancer.

BACKGROUND: Sarcopenia has been widely studied in rectal cancer with increasing evidence to suggest that other body composition parameters, in particu...

Feb 16 2026 41692917
Risk prediction for chronic atrophic gastritis using a random forest model: A multicenter study.

BACKGROUND: Chronic atrophic gastritis (CAG) is a significant precancerous condition of gastric cancer (GC). CAG often lacks typical symptoms in its e...

Feb 15 2026 41695920
Benchmarking Generative AI Protein Models Reveals Differences Between Structural and Sequence-based Approaches.

Recent advances in artificial intelligence have led to the development of generative models for de novo protein design. We compared 13 state-of-the-ar...

Feb 15 2026 41693001
Predicting risk of ascending thoracic aortic aneurysm in asymptomatic adults using machine learning.

Most patients with ascending thoracic aortic aneurysms (ATAA) remain asymptomatic until they develop fatal complications, including aortic dissection ...

Feb 12 2026 41678514
The Role of Artificial Intelligence Large Language Models in Literature Search Assistance to Evaluate the Impact of Smoking Inguinal and Ventral Hernia Repairs: A Post-Hoc Analysis.

BACKGROUND: Smoking is associated with higher complication and recurrence rates in ventral and inguinal hernia repairs, but evidence is fragmented. Th...

Feb 11 2026 41213573
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