Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before the age of 55 for men and 65 for women. Coronary Artery Disease (CAD) develops when coronary arteries, the major blood vessels supplying the heart with blood, oxygen, and nutrients, become clogged or diseased. This is often due to many risk factors, including lifestyle and cardiometabolic ones, but ...
Heart Failure (HF) affects millions of Americans and leads to high readmission rates, posing significant healthcare challenges. While Social Determinants of Health (SDOH) such as socioeconomic status and housing stability play critical roles in health outcomes, they are often underrepresented in structured EHRs and hidden in unstructured clinical notes. This study leverages advanced large langua...
Importance: Emergency department (ED) returns for mental health conditions pose a major healthcare burden, with 24-27% of patients returning within ...
While tobacco advertising innovates at unprecedented speed, traditional surveillance methods remain frozen in time, especially in the context of soc...
Acknowledging the effects of outdoor air pollution, the literature inadequately addresses indoor air pollution's impacts. Despite daily health risks...
The parsing of sensory information into discrete topographic domains is a fundamental principle of sensory processing. In the auditory cortex, these d...
Despite promising results in using deep learning to infer genetic features from histological whole-slide images (WSIs), no prior studies have specific...
The upper airway epithelium in humans is maintained in homeostasis by a resident population of basal stem cells. In the presence of tobacco smoke thes...
The link between brain health and risk/protective factors for non-communicable diseases (such as high blood pressure, high body mass index, diet, smok...
Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in COPD risk. COPD occurrence in non-smokers with AAT ...
Despite growing excitement in deploying large language models (LLMs) for healthcare, most machine learning studies show success on the same few limite...
Develop a neighborhood-level framework using machine learning and causal inference to identify socioeconomic and behavioral drivers of Type 2 diabetes...
Carotid stenosis, which is atherosclerotic narrowing of the extracranial carotid arteries, is an important risk factor for ischemic stroke. The preval...
The propagation of tobacco-related misinformation significantly impacts public health, particularly affecting people with less access to reliable info...
The most effective way to reduce mortality and morbidity among current smokers is to quit smoking. Although about half of smokers attempted to quit, o...
Tobacco use is a critical risk factor for diseases such as cancer and cardiovascular disorders. While electronic health records can capture categorica...
Social and behavioral determinants of health (SBDH) are increasingly recognized as essential for prognostication and informing targeted interventions....
In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantitative, non-invasive tissue characterization and is sensitive t...
Cardiovascular-kidney-metabolic (CKM) syndrome is characterized by complex pathophysiological interactions among cardiovascular diseases, and chronic ...
This study aimed to optimise the balance between participant burden and performance of algorithms predicting high-risk moments for a smoking cessation...