Background: Sepsis, a life-threatening infection-induced inflammatory condition, has
significant global health impacts. Timely detection is crucial for improving patient outcomes …

Background Sepsis, an acute and potentially fatal systemic response to infection,
significantly impacts global health by affecting millions annually. Prompt identification of …

Surgical cases assignment problem (SCAP) is among the most investigated interests in
operating room planning. The studies related to the SCAP are mainly focused on the single …

Multi-sensor data fusion aims to integrate information about an object from various sources
to make more effective decisions. In this study, the feasibility of combining fluorescence …

Sepsis is among the leading causes of morbidity, mortality and high costs in the ICU. The
early prediction and intervention of sepsis is a challenging task under strict time and cost …

In this paper, we propose a large language models (LLMs) assisted algorithm that uses
ChatGPT to summarize clinical notes and then concatenate these generated summaries …

Sepsis is a leading cause of death among intensive care unit patients. Early sepsis
prediction, which primarily relies on advanced artificial intelligence technology, is an …

Background: Sepsis, a potentially fatal inflammatory disease triggered by infection, carries
significant health implications worldwide. Timely detection is crucial as sepsis can rapidly …

Assessing smile genuineness from video sequences is a vital topic concerned with
recognizing facial expression and linking them with the underlying emotional states. There …