Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
OBJECTIVES: To develop and validate an interpretable machine learning (ML) model for early prediction of peri-implant mucositis (PIM). MATERIAL AND METHODS: This retrospective study enrolled patients receiving dental implants between October 2011 to June 2023 in our cohort to develop a ML-based model. External testing was subsequently performed utilizing datasets from two other hospitals. The leas...
BACKGROUND: The 5A and 5R counselling models are widely recommended frameworks for smoking cessation; however, their implementation in primary care remains inconsistent. OBJECTIVE: This multicenter cross-sectional study assessed the use of these models among 203 family physicians in Istanbul and examined the factors associated with counselling performance. METHOD: A structured questionnaire was us...
Background: This study identified and compared the risk profiles associated with nicotine pouch (NP) and smokeless tobacco (ST) use among adolescents ...
Background: Interstitial lung abnormalities (ILA) on chest CT are receiving growing attention given their association with progression to interstitial...
Time-varying confounding complicates the causal survival analysis for longitudinal data. Traditional survival models that adjust for time-dependent co...
The study of the nicotine addiction mechanism is of great significance in both nicotine withdrawal and brain science. The detection of addiction-relat...
PURPOSE: Research is needed to understand racial and ethnic differences in symptoms of depression. Unfortunately, most studies examine these differenc...
BACKGROUND: Over the last decade, the use of machine learning (ML) techniques in problem modeling and solving has increased significantly, including i...
OBJECTIVES: To quantify long-term (≥ 5 years) implant survival after lateral sinus floor elevation (LSFE) and to identify clinical predictors of long-...
OBJECTIVES: To investigate factors associated with susceptibility to wild mushroom consumption using machine learning approaches and identify key pred...
BACKGROUND: Digital health literacy (DHL) is the ability to locate, understand, evaluate, and apply health information in digital environments. It is ...
OBJECTIVE: To identify independent risk factors for diabetic peripheral neuropathic pain (DPNP), construct a nomogram prediction model, and quantify t...
INTRODUCTION: Smoking is a strong modifiable prognostic factor for lung cancer survival. We compared eight smoking metrics to determine which metric b...
We aimed to build a fuzzy logic preanaesthetic risk score tailored to cataract surgery. By fusing systemic comorbidities with key patient attributes i...
Lung cancer is projected to become the leading cause of cancer-related mortality in both smoking and nonsmoking populations. Rapid on-site evaluation ...
Pancreatic cancer is highly aggressive with poor outcomes; current artificial intelligence (AI) prognostic models often lack interpretability and unde...
The thymus is essential for establishing T cell diversity early in life, but undergoes profound involution with age and has therefore traditionally be...
BACKGROUND: Inguinal hernia repair, particularly transabdominal preperitoneal (TAPP) repair, is a common surgical procedure. However, seroma formation...