Latest AI and machine learning research in hospitalists for healthcare professionals.
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 ...
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...
BACKGROUND: Disease prediction based on electronic health records (EHRs) is essential for personaliz...
Short-term reattendances to emergency departments are a key quality of care indicator. Identifying p...
OBJECTIVE: To analyze the feasibility of a same day discharge protocol following single-port (SP) ro...
: Exoskeleton-robot-assisted therapy is known to positively affect the recovery of arm functions in ...
A massive amount of multimodal data are continuously collected in the intensive care unit (ICU) alon...
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development,...
Sewer networks play a pivotal role in our everyday lives by transporting the stormwater and urban se...
BACKGROUND: The ability to reliably predict outcomes after trauma in older adults (age ≥ 65 y) is cr...
Esophagectomy is a high-risk operation, regardless of technique. Minimally invasive transthoracic es...
COVID-19 is a serious respiratory disease. The ever-increasing number of cases is causing heavier lo...
This study investigates the relationships which deep learning methods can identify between the input...
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, ris...
Mechanical thrombectomy (MTB) is one of the two standard treatment options for Acute Ischemic Stroke...
Machine learning, in particular deep learning, may be able to assist in the prediction of the length...
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation ...