Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.
A predictive model for psoriasis relapse risk demonstrates moderate performance, according to a study published online April ...
Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.
Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...
Why This MattersChildren undergoing thoracic surgery face unique challenges, especially when one-lung ventilation (OLV) is ...
Introduction Postpartum disengagement from HIV care increases risks for adverse maternal health outcomes and transmission of ...
New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...
Objectives Development of a new ultrasound (US) synovitis score (SONography in Arthritis and Rheumatism (SONAR)-7) with ...
Background Intimate partner violence (IPV) is a major public health challenge in low- and middle-income countries (LMICs).
THE VIBRANT city of London, UK, set the stage for Europe’s leading urological gathering this year: the 41st Annual European ...
New research suggests that weight gained in the first 12 weeks of antipsychotic treatment is the biggest driver of long-term ...
Background:The COVID-19 pandemic affected the epidemiology of respiratory syncytial virus (RSV). We sought to describe ...
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