Primary Care

Smoking & Tobacco

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

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Showing 295-315 of 3,112 articles
Automatic deep learning-driven label-free image-guided patch clamp system.

Patch clamp recording of neurons is a labor-intensive and time-consuming procedure. Here, we demonst...

Improving the Utility of Tobacco-Related Problem List Entries Using Natural Language Processing.

We present findings on using natural language processing to classify tobacco-related entries from pr...

Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach.

Plant disease diagnosis is very critical for agriculture due to its importance for increasing crop p...

Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results.

(1) Background: In this work, we focus on the activity of large-conductance voltage- and Ca2+-activa...

Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images.

Liver cancer is one of the leading causes of cancer deaths in Asia and Africa. It is caused by the H...

Machine Learning Revealed New Correlates of Chronic Pelvic Pain in Women.

Chronic pelvic pain affects one in seven women worldwide, and there is an urgent need to reduce its ...

Simultaneous determination and quantitation of hypolipidemic drugs in fingerprints by UPLC-Q-TRAP/MS.

An ultra-performance liquid chromatography tandem triple quadrupole compound linear ion trap mass sp...

High-resolution 3D abdominal segmentation with random patch network fusion.

Deep learning for three dimensional (3D) abdominal organ segmentation on high-resolution computed to...

Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections.

Fast and accurate confirmation of metastasis on the frozen tissue section of intraoperative sentinel...

An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.

Researchers working on computational analysis of Whole Slide Images (WSIs) in histopathology have pr...

Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images.

In this study, we propose a fast and accurate method to automatically localize anatomical landmarks ...

Evaluation of incomplete maternal smoking data using machine learning algorithms: a study from the Medical Birth Registry of Norway.

BACKGROUND: The Medical Birth Registry of Norway (MBRN) provides national coverage of all births. Wh...

Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning.

PURPOSE: In this study, we propose a deep learning approach for assessment of gallbladder (GB) wall ...

A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set.

In this paper, we propose and validate a deep learning framework that incorporates both multi-atlas ...

Super-Resolved q-Space deep learning with uncertainty quantification.

Diffusion magnetic resonance imaging (dMRI) provides a noninvasive method for measuring brain tissue...

Predicting the first smoking lapse during a quit attempt: A machine learning approach.

BACKGROUND: Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored ...

Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss.

Instrument segmentation plays a vital role in 3D ultrasound (US) guided cardiac intervention. Effici...

A protein-coated micro-sucker patch inspired by octopus for adhesion in wet conditions.

In medical robotics, micromanipulation becomes particularly challenging in the presence of blood and...

Correlation between the extent of smoking, salivary protein profiles, and dental caries in young adult smokers.

UNLABELLED: Context.Proteins in the saliva are one of the defense mechanism factors that can protect...

XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction.

Smoking-induced noncommunicable diseases (SiNCDs) have become a significant threat to public health ...

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