Surveillance

Effectiveness of an artificial intelligence-based training and monitoring system in prevention of nosocomial infections: A pilot study of hospital-based data.

This work describes a novel artificial intelligence-based training and monitoring system (AITMS) tha...

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation.

BACKGROUND: The reporting of machine learning (ML) prognostic and diagnostic modeling studies is oft...

Artificial intelligence for dementia research methods optimization.

Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being used in dem...

Multimodal deep learning as a next challenge in nutrition research: tailoring fermented dairy products based on -mediated lipid metabolism.

Deep learning is evolving in nutritional epidemiology to address challenges including precise nutrit...

A longitudinal observational study on the epidemiology of painful procedures and sucrose administration in hospitalized preterm neonates.

Although sucrose is widely administered to hospitalized infants for single painful procedures, total...

Controversies surrounding AI-based reporting systems in echocardiography.

Optimized Classifier Learning for Face Recognition Performance Boost in Security and Surveillance Applications.

Face recognition has become an integral part of modern security processes. This paper introduces an ...

Investigating the impact of structured reporting on the linguistic standardization of radiology reports through natural language processing over a 10-year period.

OBJECTIVES: To investigate how a transition from free text to structured reporting affects reporting...

Imagining machine vision: Four visual registers from the Chinese AI industry.

Machine vision is one of the main applications of artificial intelligence. In China, the machine vis...

Bias in artificial intelligence in vascular surgery.

Application of artificial intelligence (AI) has revolutionized the utilization of big data, especial...

Fast dose calculation in x-ray guided interventions by using deep learning.

Patient dose estimation in x-ray-guided interventions is essential to prevent radiation-induced biol...

An innovative ensemble model based on deep learning for predicting COVID-19 infection.

Nowadays, global public health crises are occurring more frequently, and accurate prediction of thes...

Exploring the artificial intelligence "Trust paradox": Evidence from a survey experiment in the United States.

Advances in Artificial Intelligence (AI) are poised to transform society, national defense, and the ...

Experience matters for robotic assistance: an analysis of case data.

Many robotic procedures require active participation by assistants. Most prior work on assistants' e...

Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.

BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...

Modeling Epidemiology Data with Machine Learning Technique to Detect Risk Factors for Gastric Cancer.

PURPOSE: Gastric cancer (GC) ranks as the 7th most common cancer worldwide and a leading cause of ca...

Echocardiographic reporting, artificial intelligence and natural language processing: correspondence.

Identifying inpatient mortality in MarketScan claims data using machine learning.

PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In ...

Addressing Concerns and Pitfalls in ChatGPT-Driven Radiology Reporting.

Machine learning approaches for data-driven process monitoring of biological wastewater treatment plant: A review of research works on benchmark simulation model No. 1(BSM1).

In the past decade, machine learning techniques have seen wide industrial applications for design of...

Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting.

BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; how...