Discussing Expected Long-Term Quality of Life in the ICU: Effect on Experiences and Outcomes of Patients, Family, and Clinicians—A Randomized Clinical Trial

The Impact of Discussing Long-Term Quality of Life Predictions in the ICU on Patients, Families, and Healthcare Professionals Academic Background Patients discharged from the Intensive Care Unit (ICU) often face a range of physical, psychological, and cognitive issues, collectively referred to as Post-Intensive Care Syndrome (PICS). Despite improve...

E-Predictor: An Approach for Early Prediction of Pull Request Acceptance

Research Breakthrough on Early Prediction of Pull Request Acceptance In recent years, open-source software (OSS) development has gradually become one of the mainstream software development models, heavily relying on collaboration among developers. The Pull Request (PR) mechanism, widely applied in distributed software development, improves collabor...

Impact of a Deep Learning Sepsis Prediction Model on Quality of Care and Survival

Impact of Deep Learning Sepsis Prediction Model on Nursing Quality and Patient Survival Research Background Sepsis is a systemic inflammatory response caused by infection, affecting approximately 48 million people globally each year, with around 11 million deaths. Due to the heterogeneity of sepsis, early identification often faces significant chal...

Predicting the risk of neurocognitive decline after brain irradiation in adult patients with a primary brain tumor

Background Introduction: Radiotherapy is a major treatment modality for brain tumor patients, but it can cause cognitive decline as a side effect, which is one of the most concerning complications. Currently, there is a lack of tools in clinical practice to assess the risk of cognitive decline in patients. The purpose of this study is to establish ...