Latest AI and machine learning research in hospitalists for healthcare professionals.
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activ...
BACKGROUND: Nerve discharge is the carrier of information transmission, which can reveal the basic r...
The new da Vinci single port (SP) robotic platform has great appeal for pediatric surgery. To asses...
The study aimed to establish a machine learning-based scoring nomogram for early recognition of like...
Natural water sources like ponds, lakes and rivers are facing a great threat because of activities l...
BACKGROUND: There are often many missing values in medical data, which directly affect the accuracy ...
In this paper, for the first time, the impact of the shape factor on the discharge coefficient of si...
Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and ef...
To provide a systematic analysis of outcomes comparing outpatient and inpatient robot-assisted radi...
Coronavirus disease 2019 is a global health threat often accompanied with coagulopathy. Despite use...
BACKGROUND: There is an unmet need for timely and reliable prediction of post-cardiac arrest (CA) cl...
This paper aims to explore the application value of SonoVue contrast-enhanced ultrasonography based ...
Survival prediction is highly valued in end-of-life care clinical practice, and patient performance ...
CONTEXT: Hospitalization provides an opportunity to address end-of-life care (EoLC) preferences if p...
BACKGROUND: Delays in patient flow and a shortage of hospital beds are commonplace in hospitals duri...
To discuss the application method and effect of COPD patients in deep learning in intelligent monito...
Dissolved oxygen (DO) concentration in water is one of the key parameters for assessing river water ...
Robot-assisted gait training (RAGT) could be a rehabilitation option for patients after experiencin...
Short-term reattendances to emergency departments are a key quality of care indicator. Identifying p...
BACKGROUND: Disease prediction based on electronic health records (EHRs) is essential for personaliz...
OBJECTIVE: To analyze the feasibility of a same day discharge protocol following single-port (SP) ro...