Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Background The ability to accurately predict the occurrence of in-hospital death after percutaneous ...
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addit...
Electronic Health Records (EHRs) conceal a hidden knowledge that could be mined with data science to...
Japan's declining birth rate and increasing aging population prompted intercessory efforts towards r...
Social robotics is currently challenging researchers to look at virtually every topic with relevance...
The discipline of radiology and diagnostic imaging has evolved greatly in recent years. We have obse...
Safety and efficacy testing is a crucial part of the drug development process, and several different...
To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (...
School violence has increased over the past ten years. This study evaluated students using a more st...
OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learni...
In the course of digitalization it is becoming increasingly rare for medical documents to be handwri...
OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative r...
The digitalization in medicine has led to almost universal availability of information to different ...
Same-day endoscopic retrograde cholangiopancreatography (ERCP) and cholecystectomy (LC) could potent...
Behçet's Disease (BD) is a multisystemic vasculitis which usually affects optical, genital, and oral...
Robotic and sensor-based neurologic rehabilitation for the upper limb is an established concept for ...
The intrinsic relationship between fluid volume and open wound size (%) has not been previously exam...
Medical images have become increasingly important in clinical practice and medical research, and the...
Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted ...
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record d...
OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve p...