Latest AI and machine learning research in reimbursement for healthcare professionals.
OBJECTIVES: Widespread implementation of electronic databases has improved the accessibility of plai...
In this study, we developed a novel unfixed-type experimental system that we call a '3-DOF servosphe...
In the present study, it has been shown that an unnecessary implantable cardioverter-defibrillator (...
BACKGROUND: Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) has been designed as ...
BACKGROUND: There have been repeated initiatives to produce standard nosologies and terminologies fo...
BACKGROUND: In the United States, 795,000 people suffer strokes each year; 10-15Â % of these strokes ...
OBJECTIVE: Natural language processing methods for medical auto-coding, or automatic generation of m...
Purpose. To assess the quality of life (QOL) as a predictor of volume reduction in women undergoing ...
BACKGROUND: Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibi...
BACKGROUND: Most of the current scores and outcome prediction calculations in traumatology are based...
Although some methods are proposed for automatic ontology generation, none of them address the issue...
OBJECTIVE: The purpose of this study was to discuss the mode of increase in leg volume during comple...
Electrograms stored in Implantable Cardioverter Defibrillators (ICD-EGM) have been proven to convey ...
INTRODUCTION: Robotic application to cholecystectomy has dramatically increased, though its impact o...
In this study, we examined how well the open-source foundational large language models (LLMs) can ex...
Implantable cardioverter-defibrillators (ICDs) protect patients from sudden cardiac death (SCD). Lan...
In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnosti...
Palliative care is known to improve quality of life in advanced cancer. Natural language processing ...
Creating standardized billing codes from clinic notes is challenging due to the complexity of over 2...
Identifying the Underlying Cause of Death accurately is crucial for effective healthcare policy and ...
OBJECTIVES: Administrative data are commonly used to inform chronic disease prevalence and support h...