Latest AI and machine learning research in information technology for healthcare professionals.
Accurate recognition and linking of oncologic entities in clinical notes is essential for extracting...
Real-time monitoring of gait characteristics is crucial for applications in health monitoring, patie...
PURPOSE: Medical reports, governed by HIPAA regulations, contain personal health information (PHI), ...
Artificial intelligence (AI) and machine learning (ML) are anticipated to transform the practice of ...
INTRODUCTION: Peripheral arterial disease (PAD) is the leading cause of amputation in the United Sta...
Despite the urgent need for accurate and robust observations of microplastics in the marine environm...
The latest evolution of the healthcare industry from Industry 1.0 to 5.0, incorporating smart wearab...
BACKGROUND: Natural language processing (NLP) can facilitate research utilizing data from electronic...
In the last decades, clinical laboratories have significantly advanced their technological capabilit...
Cardiotocography (CTG) is used to assess the health of the fetus during birth or antenatally in the ...
Artificial intelligence (AI) has evolved from science fiction to a technology infiltrating everyday ...
Differentiation of syncope from transient loss of consciousness can be challenging in the emergency ...
INTRODUCTION: Body mass index (BMI) is inadequately recorded in US administrative claims databases. ...
In today's world, heart disease threatens human life owing to higher mortality and morbidity across ...
OBJECTIVES: This study aimed to develop a machine learning (ML) model to predict disengagement from ...
Recent advancements in computing have led to the development of artificial intelligence (AI) enabled...
Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival o...
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are gett...
BACKGROUND: The current study sets out to develop and validate a robust machine-learning model utili...
This study investigates the efficacy of machine learning models for intrusion detection in the Inter...
In an era marked by pervasive digital connectivity, cybersecurity concerns have escalated. The rapid...