Latest AI and machine learning research in domestic violence for healthcare professionals.
Immunocyte infiltration and cytotoxicity play critical roles in both inflammation and immunotherapy....
Medical images play an important role in medical diagnosis and treatment. Oncologists analyze images...
With modern population growth and an increase in the average lifespan, more patients are becoming af...
PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed...
OBJECTIVES: Computer-aided triaging (CAT) and computer-aided diagnosis (CAD) of screening breast mag...
BACKGROUND: Persistent critical illness (PerCI) is an immunosuppressive status. The underlying patho...
There has been an explosive growth in research over the last decade exploring machine learning techn...
Delirium screening in acute care settings is a resource intensive process with frequent deviations f...
Predicting recovery after trauma is important to provide patients a perspective on their estimated f...
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The ...
BACKGROUND: Natural language processing (NLP) may be a tool for automating trauma teamwork assessmen...
We developed a machine learning algorithm to analyze trauma-related data and predict the mortality ...
Survival analysis deals with the expected duration of time until one or more events of interest occu...
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...
Exponential growth of health-related data collected by digital tools is a reality within pharmaceuti...
OBJECTIVES: The aim of this study was to evaluate the quality of reporting of randomised controlled ...
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...
Machine learning (ML) algorithms are becoming increasingly pervasive in the domains of medical diagn...
Reaction discovery and catalyst screening lie at the heart of synthetic organic chemistry. While the...