Primary Care

Smoking & Tobacco

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

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Showing 1-21 of 3,112 articles
Real-World Adversarial Defense against Patch Attacks based on Diffusion Model.

Adversarial patches present significant challenges to the robustness of deep learning models, making...

VLM-CPL: Consensus Pseudo-Labels from Vision-Language Models for Annotation-Free Pathological Image Classification.

Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep...

Image Denoising Using Green Channel Prior.

Image denoising is an appealing and challenging task, in that noise statistics of real-world observa...

Gout Diagnosis From Ultrasound Images Using a Patch-Wise Attention Deep Network.

OBJECTIVES: The rising global prevalence of gout necessitates advancements in diagnostic methodologi...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...

Assessing ChatGPT's suitability in responding to the public's inquires on the effects of smoking on oral health.

BACKGROUND: With the growing use of Artificial Intelligence (AI) in healthcare, language models like...

Frequency domain manipulation of multiple copy-move forgery in digital image forensics.

Copy move forgery is a type of image forgery in which a portion of the original image is copied and ...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

A systematic review and narrative summary of the therapeutic potential of classic serotonergic psychedelics for smoking cessation and reduction.

BACKGROUND: Classic serotonergic psychedelics are 5-HT2A partial agonists that induce non-ordinary s...

Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model.

Melanoma is the most dangerous type of skin cancer. Although it accounts for only about 1% of all sk...

Exploring explainable machine learning algorithms to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023.

Tobacco smoking is a significant public health issue in sub-Saharan Africa, with its prevalence shap...

The Impact of Genetic and Acquired Risk Factors on Thromboembolic Events: A Retrospective Study.

This study, involving a cohort of 980 patients with arterial and/or venous events, evaluated the rel...

Baseline Moderators of Response to Naltrexone and Bupropion in the Treatment of Methamphetamine Use Disorder: An ADAPT-2 Study.

OBJECTIVES: Extended-release naltrexone and once-daily bupropion (NTX-BUP) reduced methamphetamine (...

Video swin-CLSTM transformer: Enhancing human action recognition with optical flow and long-term dependencies.

As video data volumes soar exponentially, the significance of video content analysis, particularly H...

In Vivo Laparoscopic Image De-smoking Dataset, Evaluation, and Beyond.

The development of effective algorithms for removing surgical smoke in laparoscopic surgery has been...

Progress and challenges of artificial intelligence in lung cancer clinical translation.

Artificial intelligence (AI) algorithms, such as convolutional neural networks and transformers, hav...

Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm.

Ovarian cancer is one of the deadliest cancers of the female reproductive system, with poor prognosi...

Developing downstream processes for the purification of recombinant proteins and small molecules from Nicotiana benthamiana biomass.

Nicotiana benthamiana (Australian tobacco) has become a major host for plant-based recombinant prote...

Seminars in epileptology: How to diagnose status epilepticus in adults and children.

Status epilepticus (SE) can be regarded as the most severe expression of seizure activity characteri...

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