Latest AI and machine learning research in surveillance for healthcare professionals.
INTRODUCTION: As part of routine safety surveillance, thousands of articles of potential interest ar...
Most of the food consumed worldwide is produced by plants. Plant disease is a major cause of reduced...
PURPOSE OF REVIEW: This review highlights recently published studies on osteoarthritis (OA) epidemio...
The potential benefits and limitations of benign hysterectomy surgical approaches are still debated....
BACKGROUND: Influenza outbreaks pose a significant threat to global public health. Traditional surve...
Sooty mold is a common disease found in citrus plants and is characterized by black fungi growth on ...
BACKGROUND: Lyme disease is among the most reported tick-borne diseases worldwide, making it a major...
Early monitoring and warning arrangements are effective ways to distinguish infectious agents and co...
BACKGROUND: Machine learning (ML) approaches are a crucial component of modern data analysis in many...
: To evaluate the comparative effectiveness of treatments, a randomized clinical trial remains the g...
This work describes a novel artificial intelligence-based training and monitoring system (AITMS) tha...
BACKGROUND: The reporting of machine learning (ML) prognostic and diagnostic modeling studies is oft...
Deep learning is evolving in nutritional epidemiology to address challenges including precise nutrit...
Although sucrose is widely administered to hospitalized infants for single painful procedures, total...
OBJECTIVES: To investigate how a transition from free text to structured reporting affects reporting...
Application of artificial intelligence (AI) has revolutionized the utilization of big data, especial...
Nowadays, global public health crises are occurring more frequently, and accurate prediction of thes...
BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...
PURPOSE: Gastric cancer (GC) ranks as the 7th most common cancer worldwide and a leading cause of ca...
PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In ...
In the past decade, machine learning techniques have seen wide industrial applications for design of...