Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Background: Nursing documentation patterns may reflect patient acuity and clinical deterioration, ye...
Importance: High-quality discharge summaries are essential for safe care transitions but contribute ...
Abstract Objective More people than ever before are living with cancer. Patient education is a core ...
Background: Prognostic assessment in critically ill patients with cancer remains challenging, as con...
Generative models trained using self-supervision of tokenized electronic health record (EHR) timelin...
One-third of the world's 70 million people with epilepsy have seizures that are not controlled by me...
Background: Sarcopenia is associated with mortality and morbidity following acute ischemic stroke (A...
Objective: Experts in poison control centers must accurately and efficiently assess the severity of ...
Introduction: Clinical text classification using natural language processing (NLP) models requires a...
Healthcare visitation patterns are influenced by a complex interplay of hospital attributes, populat...
Purpose: Studies based on electronic health records (EHR) often rely on structured data, which may i...
Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accu...
BackgroundSystemic infections are a leading cause of hospitalization and death among patients with c...
Adverse events such as compulsory measures, absconding, illicit substance use, self-harm, aggressive...
BACKGROUND AND OBJECTIVE: Continuous, real-time monitoring of Length of Stay (LoS) for critically il...
Nanophotonics, an interdisciplinary field merging nanotechnology and photonics, has enabled transf...
Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditio...
Despite the remarkable performance of Large Language Models (LLMs) in automated discharge summary ...
The advent of endovascular thrombectomy has significantly improved outcomes for stroke patients with...
Cardiac rehabilitation is a crucial multidisciplinary approach to improve patient outcomes. There is...
Cost models in healthcare research must balance interpretability, accuracy, and parameter consiste...