Latest AI and machine learning research in reimbursement for healthcare professionals.
The development of reliable mortality risk stratification models is an active research area in compu...
PURPOSE: Nearly all published ophthalmology-related Big Data studies rely exclusively on Internation...
Telesurgery, a cutting-edge field at the intersection of medicine and technology, holds immense prom...
AIMS: Implantable cardioverter defibrillator (ICD) therapies have been associated with increased mor...
Artificial intelligence (AI) opens up new opportunities to improve medical care in internal medicine...
OBJECTIVE: To develop and validate TraumaICDBERT, a natural language processing algorithm to predict...
With the advances in technology and data science, machine learning (ML) is being rapidly adopted by ...
OBJECTIVE: Heart failure, respiratory failure and kidney failure are three severe organ failures (OF...
Unlike traditional finance, digital inclusive finance is committed to integrating digital technology...
BACKGROUND: Machine learning methods are used in the classification of various cardiovascular diseas...
OBJECTIVES: To investigate whether early gait training using Hybrid Assistive Limb (HAL) is feasible...
INTRODUCTION: S-ICD eligibility is assessed at pre-implant screening where surface ECG traces are us...
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disord...
Robot-assisted thoracic surgery (RATS) is a rapidly evolving surgical technique in Europe. The aim o...
International Classification of Diseases (ICD) coding plays an important role in systematically clas...
A correct protocol assignment is critical to high-quality imaging examinations, and its automation c...
Our objective was to develop deep learning models with chest radiograph data to predict healthcare c...
BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of c...
BACKGROUND: Automated ICD coding on medical texts via machine learning has been a hot topic. Related...
AIMS: This sub-study deriving from a multicentre Italian register [Deformation Imaging by Strain in ...
Abnormal spasticity and associated synergistic patterns are the most common neuromuscular impairment...