Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
BACKGROUND: Sleep apnea is a respiratory disorder characterized by an intermittent reduction (hypopn...
Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-aided tis...
Fibroglandular tissue (FGT) segmentation is a crucial step for quantitative analysis of background p...
Classification of various types of tissue in cancer histology images based on the cellular compositi...
Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segment...
Minimally invasive surgery offers reduced pain and opioid use postoperatively compared with open su...
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (EC...
There is a limitation in the size of an image that can be processed using computationally demanding ...
Studies on the influence of a modern lifestyle in abetting Coronary Heart Diseases (CHD) have mostly...
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap...
Deriving accurate structural maps for attenuation correction (AC) of whole-body positron emission to...
The extreme variability of the folding pattern of the human cortex makes the recognition of cortical...
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-pho...
Nicotine consumption is considered a major health problem, where many of those who wish to quit smok...
Digital histology images are amenable to the application of convolutional neural networks (CNNs) for...
Single-molecule research techniques such as patch-clamp electrophysiology deliver unique biological ...
Deep learning approaches are widely applied to histopathological image analysis due to the impressiv...
Tumor budding is a promising and cost-effective biomarker with strong prognostic value in colorectal...
BACKGROUND: The wide scale and severity of consequences of tobacco use, benefits derived from cessat...
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...
Deep-UV (DUV) excitation fluorescence microscopy has potential to provide rapid diagnosis with simpl...