Latest AI and machine learning research in domestic violence for healthcare professionals.
We propose a deep learning-assisted overscan decision algorithm in chest low-dose computed tomograph...
Computational methods for virtual screening can dramatically accelerate early-stage drug discovery b...
Coronavirus Disease 2019 (COVID-19) is currently a global pandemic, and early screening is one of th...
BACKGROUND: Deep learning-assisted eye disease diagnosis technology is increasingly applied in eye d...
Organoids are carrying the promise of modeling complex disease phenotypes and serving as a powerful ...
PURPOSE: Many high-risk osteopenia and osteoporosis patients remain undiagnosed. We proposed to cons...
Exponential growth of health-related data collected by digital tools is a reality within pharmaceuti...
PURPOSE: To compare the reader performance of artificial intelligence computer-aided detection synth...
OBJECTIVES: The aim of this study was to evaluate the quality of reporting of randomised controlled ...
In this article, the upgrading process of the structure-based virtual screening (SBVS) protocol targ...
BACKGROUND: Natural language processing (NLP) is a discipline of machine learning concerned with the...
Systematic literature review (SLR) is a crucial method for clinicians and policymakers to make their...
COVID-19 detection using Artificial Intelligence and Computer-Aided Diagnosis has been the subject o...
Screening and diagnosis of diabetic retinopathy disease is a well known problem in the biomedical do...
This research aimed to investigate the diagnostic effect of computed tomography (CT) images based on...
Prediabetes and diabetes are becoming alarmingly prevalent among adolescents over the past decade. H...
Auscultation plays an important role in the clinic, and the research community has been exploring ma...
Identification of small-molecule binding sites in proteins is of great significance in analysis of p...
Machine learning (ML) algorithms are becoming increasingly pervasive in the domains of medical diagn...
Highly complex and multi-dimensional medical data containing clinical, radiologic, pathologic, and s...
OBJECTIVES: This study was performed to develop computer-aided screening systems that could predict ...