Latest AI and machine learning research in reimbursement for healthcare professionals.
BACKGROUND: International Classification of Diseases (ICD) codes utilized for congenital heart defec...
INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transpla...
Coding according to the International Classification of Diseases (ICD)-10 and its clinical modificat...
Annotated language resources derived from clinical routine documentation form an intriguing asset fo...
Despite the widespread development of ontologies in many domains of healthcare, the field of colorec...
As a prospective payment method, diagnosis-related groups (DRGs)'s implementation has varying effect...
The field of electrophysiology (EP) has benefited from numerous seminal innovations and discoveries ...
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This...
Electronic Health Records (EHRs) are valuable healthcare data, aiding researchers and doctors in imp...
The chapter provides an in-depth analysis of digital therapeutics (DTx) as a revolutionary approach ...
A semi-structured clinical problem list containing ∼1.9 million de-identified entries linked to ICD-...
Clinical information systems have become large repositories for semi-structured and partly annotated...
Radiologists have been at the forefront of the digitization process in medicine. Artificial intellig...
The International Statistical Classification of Diseases and Related Health Problems (ICD) is one of...
Robot-assisted surgery (RAS) has already been approved for several clinical applications in head and...
Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In ...
eHealth is the use of modern information and communication technology (ICT) for trans-institutional ...
Automatic detection of ICD-10 codes in clinical documents has become a necessity. In this article, a...
The aim of this study was to develop a simple method to map the French International Statistical Cla...
OBJECTIVES: To develop classification algorithms that accurately identify axial SpA (axSpA) patients...
BACKGROUND: Accurate anesthesiology procedure code data are essential to quality improvement, resear...