Latest AI and machine learning research in practice management for healthcare professionals.
INTRODUCTION: Original research in radiology often involves handling large datasets, data manipulati...
Researchers have historically focused on understanding therapist multicultural competency and orient...
In the last decades, clinical laboratories have significantly advanced their technological capabilit...
Regulatory non-coding RNAs (ncRNAs) are increasingly recognized as integral to the control of biolog...
BACKGROUND: Available codes in the ICD-10 do not accurately reflect soft tissue sarcoma diagnoses, a...
BACKGROUND: Implantable cardioverter defibrillators (ICDs) reduce mortality associated with ventricu...
Efficient sensory detection requires the capacity to ignore task-irrelevant information, for example...
STUDY OBJECTIVE: To use artificial intelligence (AI) to predict billing code levels for emergency de...
Gastric cancer (GC) is a prevalent malignancy with high mortality rates. Immunogenic cell death (ICD...
In this study, we redefine the diagnostic landscape of diabetic ulcers (DUs), a major diabetes compl...
Myocardial infarction (MI) is a significant global health issue. Despite the advances in genome-wide...
INTRODUCTION: The Danish Health Care Registers rely on the International Statistical Classification ...
The involvement of non-coding RNAs in biological processes and diseases has made the exploration of ...
Nocturnal enuresis is a bothersome condition that affects many children and their caregivers. Post-v...
MicroRNAs (miRNAs) are a key class of endogenous non-coding RNAs that play a pivotal role in regulat...
BACKGROUND: The medical coding of radiology reports is essential for a good quality of care and corr...
Accurately assigning standardized diagnosis and procedure codes from clinical text is crucial for he...
ChatGPT, an artificial intelligence (AI) system released by OpenAI on November 30th, 2022, has upend...
BACKGROUND: Patients increasingly rely on web-based physician reviews to choose a physician and shar...
To explore the application efficacy and significance of deep learning in anesthesia management for g...
BACKGROUND: Despite the significance and prevalence of acute respiratory distress syndrome (ARDS), i...