Latest AI and machine learning research in surveys for healthcare professionals.
This study investigates how historical disparities in healthcare access influence machine learning (...
Parent/patient-reported datasets provide ready access to phenotypic data for monogenic neurodevelopm...
Large language models (LLMs) have demonstrated rapid advancements in natural language understanding ...
Spinal cord injury (SCI) remains a devastating neurological condition with high global incidence and...
Large language models (LLMs) show promise on healthcare tasks, yet most evaluations emphasize multip...
Multimorbidity, the coexistence of multiple chronic conditions, is a growing public health challenge...
Accelerometers are used to measure sedentary time (SED) and physical activity (PA) in toddlers, but ...
The National Early Warning Score (NEWS) is a nationally recommended, clinically implemented system, ...
Primary care artificial intelligence adoption among United States (US) physicians accelerated from 3...
Cancer therapeutic response patterns may be fundamentally influenced by embryonic germ layer origin....
The aim of the present study is to systematically investigate the phenomenon of Conformity Bias in c...
Large language models (LLMs) are increasingly used in healthcare, but standardized benchmarks fail t...
Trust is foundational to patient-physician relationships and is associated with improved care-seekin...
Artificial Intelligence has increasingly been integrated into clinical practice, yet its adoption an...
Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms...
Large language models (LLMs) are increasingly used in randomized clinical trial (RCT) screening, but...
Unintended pregnancy remains common in high income countries and has been linked to poorer maternal ...
Internalizing disorders are among the most common psychiatric conditions in adolescence, often assoc...
To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language ...
The scientific literature on artificial intelligence-enabled electrocardiography (AI-ECG) has define...
Interpretable scoring system can contribute to bridge the gap between the timeliness and complexity ...