Smoking & Tobacco

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

2,720 articles

Primary-Care Subcategories: Alternative Medicine Dental Health Diet & Nutrition Exercise & Fitness Geriatrics Obesity Preventive Care Smoking & Tobacco

Showing 442-462 of 2,720 articles

Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurys...

Nov 2019 31682022

Deep Learning-Based Classification of Liver Cancer Histopathology Images Using Only Global Labels.

Liver cancer is a leading cause of cancer deaths worldwide due to its high morbidity and mortality. ...

Oct 2019 31670686

Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit...

Oct 2019 31707266

Hypervitaminosis D without toxicity.

Vitamin D deficiency is highly prevalent and there are an increasing number of reports of vitamin D ...

Oct 2019 32063764

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

We present a deep convolutional neural network for breast cancer screening exam classification, trai...

Oct 2019 31603772

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation.

Visual inspection of histopathology images of stained biopsy tissue by expert pathologists is the st...

Sep 2019 31567104

Image reconstruction for positron emission tomography based on patch-based regularization and dictionary learning.

PURPOSE: Positron emission tomography (PET) is an important tool for nuclear medical imaging. It has...

Sep 2019 31494950

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for ma...

Sep 2019 31505245

Abdominal artery segmentation method from CT volumes using fully convolutional neural network.

PURPOSE : The purpose of this paper is to present a fully automated abdominal artery segmentation me...

Sep 2019 31493112

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.

Histopathology image analysis serves as the gold standard for cancer diagnosis. Efficient and precis...

Sep 2019 31484154

Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.

BACKGROUND: Approximately 20% of deaths in the US each year are attributable to smoking, yet current...

Jul 2019 31345210

Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier.

Cervical cancer is the fourth most communal malignant disease amongst women worldwide. In maximum ci...

Jul 2019 31312985

Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.

PURPOSE: To develop and evaluate a patch-based convolutional neural network (CNN) to generate synthe...

Jul 2019 31206701

Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.

According to the survey on various health centres, smart log-based multi access physical monitoring ...

Jul 2019 31324070

Holistic decomposition convolution for effective semantic segmentation of medical volume images.

Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in many different 2D...

Jul 2019 31302511

Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking.

BACKGROUND: Hookah tobacco smoking (HTS) is a particularly important issue for public health profess...

Jul 2019 31287063

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