Latest AI and machine learning research in reimbursement for healthcare professionals.
International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement...
BACKGROUND: Current Procedural Terminology (CPT) coding in plastic and reconstructive surgery is com...
BACKGROUND: Impulsivity in individuals with attention-deficit/hyperactivity disorder (ADHD) diminish...
Assessing water resources carrying capacity (WRCC) is essential for regional high-quality developmen...
The synergistic integration of chemotherapy and immunotherapy represents the most promising strategy...
PURPOSE: Among the extraintestinal ocular manifestations of patients with inflammatory bowel disease...
BACKGROUND: Postpartum haemorrhage (PPH) accounts for approximately 27% of maternal deaths worldwide...
OBJECTIVES: To propose an equity-by-design agenda for socially assistive robots (SARs) as embodied d...
PURPOSE: Medicare's New Technology Add-On Payment (NTAP) incentivizes the adoption of innovative tec...
Structured claims or EMR datasets have limitations, such as lacking important clinical variables, up...
Mental health disorders are highly prevalent worldwide, yet access to timely and effective mental he...
BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children ...
Over the past two decades, photonic sensing has transitioned from laboratory concepts to clinically ...
Gastrointestinal endoscopy has undergone rapid technological evolution, yet many clinician innovator...
Brain-computer interface (BCI) technology establishes a direct communication pathway between neural ...
PURPOSE: Wheelchair maintenance and repair services are critical for sustaining mobility, independen...
BACKGROUND: Major depressive disorder (MDD) and treatment-resistant depression (TRD) are heterogeneo...
BACKGROUND: Unplanned hospital readmissions represent a critical operational and financial challenge...
INTRODUCTION: Clinical narratives are difficult to process due to unstructured text, abbreviations, ...
We evaluated six medium-sized generative models (Autoregressive Transformers and a Diffusion Languag...
This work's objective is to support secondary use of unstructured clinical text data in research. We...