Latest AI and machine learning research in hospitalists for healthcare professionals.
With advances in artificial intelligence, machine learning (ML) has been widely applied to predict f...
Natural language processing techniques are having an increasing impact on clinical care from patient...
Electronic Health Record (EHR) audit log data are increasingly utilized for clinical tasks, from wor...
To assist physicians in predicting diseases, most natural language processing (NLP) models have focu...
BACKGROUND: Acute heart failure (AHF) carries a grave prognosis, marked by high readmission and mort...
Triangular orifices are widely used in industrial and engineering applications, including fluid mete...
OBJECTIVE: In recent years, due to the development of accelerated recovery after surgery and day sur...
Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized ...
This paper aimed to detect the latent clusters of patients with opioid use disorder and to identify ...
The role of segmentectomy for lung cancer is expected to increase owing to the results of Japan Clin...
As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expand...
Robotic-based rehabilitation administered by means of serious games certainly represents the frontie...
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in p...
OBJECTIVES: Robot-assisted coronary artery bypass grafting (CABG) has been developed as a less invas...
This study aims to investigate the prediction of hospital readmission of alcohol use disorder patien...
Health care systems around the world do not have sufficient medical services to immediately offer el...
Clinical data are increasingly being mined to derive new medical knowledge with a goal of enabling g...
BACKGROUND: Cost and quality are important, complex, and intertwined surgical outcomes. Evidence sug...
INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...
The increasing availability of electronic health records and administrative data and the adoption of...
AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- ...