Latest AI and machine learning research in reimbursement for healthcare professionals.
Large Language Models (LLMs) have demonstrated remarkable performance across various domains, incl...
Medication Extraction and Mining play an important role in healthcare NLP research due to its prac...
Medical coding is essential for standardizing clinical data and communication but is often time-co...
Abdominal computed tomography (CT) scans are frequently performed in clinical settings. Opportunis...
Annotated language resources derived from clinical routine documentation form an intriguing asset fo...
Coding according to the International Classification of Diseases (ICD)-10 and its clinical modificat...
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 ...
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 ...
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...
OBJECTIVE: Electronic health records linked with biorepositories are a powerful platform for transla...