Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Automatic and reliable segmentation of the prostate is an important but difficult task for various c...
BACKGROUND AND STUDY AIMS: Evidence has accumulated that approximately 15 % to 30 % of colorectal ca...
This paper addresses the problem of recognizing human interactions with close physical contact from ...
Within clinical discourse, social history (SH) includes important information about substance use (a...
Oral tongue squamous cell carcinomas (OTSCC) are a homogeneous group of tumors characterized by aggr...
The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk fac...
Sparse representations classification (SRC) is a powerful technique for pixelwise classification of ...
OBJECTIVES: To test the hypotheses that lidocaine 5% patches decrease the severity of acute pain and...
An on-water remote monitoring robotic system was developed for indirectly estimating the relative de...
Matching of keypoints across image patches forms the basis of computer vision applications, such as ...
We present a novel interactive segmentation framework incorporating a priori knowledge learned from ...
Supervised machine learning is a powerful tool frequently used in computer-aided diagnosis (CAD) app...
BACKGROUND: Tobacco use remains a significant global health challenge, contributing substantially to...
This study examines end-user perceptions of an AI chatbot as a virtual therapist through a design st...
The evolution of wetland ecosystems from the perspectives of landscape connectivity and fragmentatio...
Confounding factors inherent in medical images can significantly impact the causal exploration capab...
Time series anomaly detection is crucial for maintaining stable systems. Existing methods face two m...
Recently, transformer-based methods have shown remarkable success in object re-identification. Howev...
Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...
The integration of chatbots into psychiatry introduces a novel approach to support clinical decision...
Vision Transformers (ViTs) suffer from high parameter complexity because they rely on Multi-layer Pe...