Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
BACKGROUND: With the increasing legalization and popularity of marijuana, it is frequently and somet...
BACKGROUND: Cyanide anion can be found in foodstuffs, tobacco smoke and a variety of types of waters...
 Although abundant literature is currently available on the use of deep learning for breast cancer ...
BACKGROUND/PURPOSE: We suspected that there might be an interaction between sugar intake and tobacco...
Diagnostic histopathology faces increasing demands due to aging populations and expanding healthcare...
A patch clamp is the "gold standard" method for studying ion-channel biophysics and pharmacology. Du...
Respiratory pattern is one of the most crucial indicators for accessing human health, but there has ...
Convolutional neural networks (CNNs) have the potential to assist allergists and dermatologists in ...
The etiology of head and neck squamous cell carcinoma (HNSCC) involves multiple carcinogens, such as...
Fine needle aspiration (FNA) biopsy of thyroid nodules is a safe, cost-effective, and accurate diagn...
The number of health-related incidents caused using illegal and legal psychoactive substances (PAS) ...
Histopathological Whole Slide Images (WSIs) play a crucial role in cancer diagnosis. It is of signif...
Pixel-level annotations are extremely expensive for medical image segmentation tasks as both experti...
The employment of machine learning approaches has shown promising results in predicting cancer. In t...
To create a synthetic CT (sCT) from daily CBCT using either deep residual U-Net (DRUnet), or conditi...
Microscopic evaluation of hematoxylin and eosin-stained slides is still the diagnostic gold standard...
Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of w...
Image restoration under adverse weather conditions has been of significant interest for various comp...
The widespread application of artificial intelligence in health research is currently hampered by li...
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomogra...
Current hardware limitations make it impossible to train convolutional neural networks on gigapixel ...