Latest AI and machine learning research in addictions for healthcare professionals.
The aim of this work is to develop a predictive model for electrospun based polyvinyl alcohol (PVA) ...
Artificial intelligence, scientific computing, and probabilistic computing use random sampling to ap...
BACKGROUND: This medical center migrated from alcohol to sotradecol foam sclerotherapy (SFS) because...
Medical predictions, for example, concerning a patient's likelihood of survival, can be used to effi...
BACKGROUND: There are significant sex differences in the causes and consequences of alcohol misuse, ...
OBJECTIVES: This paper describes how artificial intelligence (AI) was used to analyze meeting minute...
OBJECTIVES: In the PICU, predicting death within 1 hour after terminal extubation (TE) is valuable i...
This mini-review discusses important factors in opioid use in gynecologic oncology in the perioperat...
BACKGROUND: The opioid crisis poses a significant health challenge in the United States, with increa...
Combinatorial control by transcription factors (TFs) is central to eukaryotic gene regulation, yet i...
Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...
Fully wearable devices are crucial for real-time health monitoring, but existing devices often lack ...
Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, in...
Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, wi...
Accurately predicting the refractive index of hemoglobin across various wavelengths and concentratio...
In an era of increasing digital threats and product counterfeiting, this study introduces MA-IPA@NPA...
Colonoscopy is the primary tool for colorectal cancer screening. High-quality colonoscopy is crucial...
The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...
INTRODUCTION: The liver is one of the vital organs of human body that performs some of the most cruc...
BACKGROUND AND AIMS: People with opioid use disorder are at increased risk of intentional self-harm ...
Biosensor-based, real-time stress detection has generated clinical interest for the purpose of drivi...