Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Hospital readmission prediction is critical for clinical decision support, aiming to identify pati...
Rare diseases, despite their low individual incidence, collectively impact around 300 million peop...
A seminal paper published by Ledley and Lusted in 1959 introduced complex clinical diagnostic reas...
Foresight 2 (FS2) is a large language model fine-tuned on hospital data for modelling patient time...
Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, perso...
Conventional biomedical research is increasingly labor-intensive due to the exponential growth of ...
Coding morbidity data using international standard diagnostic classifications is increasingly impo...
Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This rea...
This review explores the evolution of human-machine interfaces (HMIs) for subsea telerobotics, tra...
OBJECTIVE: Unplanned readmissions following a hospitalization remain common despite significant effo...
OBJECTIVE: To externally validate by revision and update the study on the efficacy of nosocomial inf...
() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...
The decomposition of high-density surface electromyography (HD-sEMG) signals into motor unit disch...
Large language models (LLMs) have demonstrated significant potential in clinical decision support....
Medication Extraction and Mining play an important role in healthcare NLP research due to its prac...
In-basket message interactions play a crucial role in physician-patient communication, occurring d...
Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health stra...
Abdominal computed tomography (CT) scans are frequently performed in clinical settings. Opportunis...
Developing novel predictive models with complex biomedical information is challenging due to various...
This study introduces a novel approach for generating machine-generated instruction datasets for fin...
Emergency department (ED) overcrowding is a complex problem that is intricately linked with the oper...