Machine Learning
Clinical trial pipeline · Data from ClinicalTrials.gov
See which Machine Learning trials may be worth asking aboutClinical trial pipeline · Data from ClinicalTrials.gov
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This is a study comparing 3 years of retrospective data (pre-implementation) to 2 years of prospective data after the implementation of a pediatric version of E…
The instrumental activities of daily living (IADL) refer to complex daily activities required for adult independence, such as preparing a meal or taking medicat…
Through the research of this project, we expect to validate the clinical utility of the TuFEst-LN model in assessing axillary lymph node status in breast cancer…
The aim of this study is to develop and validate an artificial intelligence system named iEUS-PCL (intelligent endoscopic ultrasound system-pancreatic cystic le…
This is a prospective study validating a new machine-learning algorithm that detects atrial fibrillation (AF) from photoplethysmography (PPG) signals, developed…
Digital mental health interventions are a cost-effective and efficient approach to expanding the accessibility and impact of psychological treatments; however,…
This retrospective study constructs the largest multicenter registry of strabismus care in Japan. The registry evaluates real-world surgical and conservative tr…
The goal of this quasi-experimental study is to analyze if a Machine Learning Clinical Decision Support System can improve the empirical antibiotic treatment in…