Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standards of care when patients no longer need hospital facilities. Although HH seems to lower healthcare costs by shortening hospital stays and improving patient's quality of life, the lack of continuous observation at home may lead to complications in some patients. Since blood tests have been proven to ...
OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal stenosis (LSS) demonstrate considerable heterogeneity. Individualized prediction tools can provide valuable insights for shared decision-making. The authors aim to evaluate the feasibility of predicting short- and long-term PROMs, reoperations, and perioperative parameters by machine learning (ML) ...
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised mac...
Although machine learning is increasingly being applied to support clinical decision making, there is a significant gap in understanding what it is an...
Electronic medical records (EMRs), such as hospital discharge summaries, contain a wealth of information only expressed in natural language. Automated...
Background The ability to accurately predict the occurrence of in-hospital death after percutaneous coronary intervention is important for clinical de...
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addition to social costs. Objective of this study was t...
This review critically analyzes how machine learning is being used to support clinical decision-making in the management of potentially resectable pan...
Electronic Health Records (EHRs) conceal a hidden knowledge that could be mined with data science tools. This is relevant for N.N. Burdenko Neurosurge...
Japan's declining birth rate and increasing aging population prompted intercessory efforts towards robot technologies in nursing practice for theelder...
Social robotics is currently challenging researchers to look at virtually every topic with relevance for human societies. The multidisciplinary nature...
The discipline of radiology and diagnostic imaging has evolved greatly in recent years. We have observed an exponential increase in the number of exam...
Safety and efficacy testing is a crucial part of the drug development process, and several different methods are used to obtain the necessary data (e....
To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (OBV/PTV/RTV+DSV) in the treatment of genotype 1b c...
School violence has increased over the past ten years. This study evaluated students using a more standard and sensitive method to help identify stude...
OBJECTIVE: Quantify physiologically acceptable PICU-discharge vital signs and develop machine learning models to predict these values for individual p...
In the course of digitalization it is becoming increasingly rare for medical documents to be handwritten. As a result, digitalization has already beco...
To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulation endoscopy. When the master of YunSRobot was in...
OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative risk factors, endocrinopathies, and other tumor-rel...
Extragonadal primary yolk sac tumor of the intestinal tract origin is exceedingly rare. Through a multiple disciplinary team, the diagnosis and treatm...