In a randomized clinical trial, researchers compared the effect of single vs multiple treatment alternatives on care ...
Objective: This study aimed to assess the impact of a model shift on ML-based prediction models by evaluating 3 different use cases—delirium, sepsis, and acute kidney injury (AKI)—from 2 hospitals (M ...
Abstract: Understanding how large language models (LLMs) generalize across diverse traffic scenarios is critical for advancing autonomous driving systems. While previous studies have validated LLMs’ ...
Abstract: Next-generation multiple access techniques are crucial for providing low-latency and highly efficient data transmission services. Recently, Deep Reinforcement Learning (DRL) has emerged as a ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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