AIMC Topic: Artificial Intelligence

Clear Filters Showing 14461 to 14470 of 26332 articles

Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment.

Pediatric radiology
BACKGROUND: The autonomous artificial intelligence (AI) system for bone age rating (BoneXpert) was designed to be used in clinical radiology practice as an AI-replace tool, replacing the radiologist completely.

Updates in Endovascular Procedural Navigation.

The Canadian journal of cardiology
There have been significant advancements in endovascular technology over the past decade. Increasingly complex disease processes are being addressed in a less invasive fashion, while still relying on standard 2-dimensional greyscale fluoroscopy imagi...

Using artificial intelligence methods for systematic review in health sciences: A systematic review.

Research synthesis methods
The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the re...

Intelligent Bio-Impedance System for Personalized Continuous Blood Pressure Measurement.

Biosensors
Continuous blood pressure (BP) measurement is crucial for long-term cardiovascular monitoring, especially for prompt hypertension detection. However, most of the continuous BP measurements rely on the pulse transit time (PTT) from multiple-channel ph...

Automated pneumothorax triaging in chest X-rays in the New Zealand population using deep-learning algorithms.

Journal of medical imaging and radiation oncology
INTRODUCTION: The primary aim was to develop convolutional neural network (CNN)-based artificial intelligence (AI) models for pneumothorax classification and segmentation for automated chest X-ray (CXR) triaging. A secondary aim was to perform interp...

Artificial intelligence (AI) models for the ultrasonographic diagnosis of liver tumors and comparison of diagnostic accuracies between AI and human experts.

Journal of gastroenterology
BACKGROUND: Ultrasonography (US) is widely used for the diagnosis of liver tumors. However, the accuracy of the diagnosis largely depends on the visual perception of humans. Hence, we aimed to construct artificial intelligence (AI) models for the dia...

Machine Learning Based Lens-Free Shadow Imaging Technique for Field-Portable Cytometry.

Biosensors
The lens-free shadow imaging technique (LSIT) is a well-established technique for the characterization of microparticles and biological cells. Due to its simplicity and cost-effectiveness, various low-cost solutions have been developed, such as autom...

AI Enabled Bridge Bidding Supporting Interactive Visualization.

Sensors (Basel, Switzerland)
With the fast progress in perfect information game problems such as AI chess and AI Go, researchers have turned to imperfect information game problems, including Texas Hold'em and Bridge. Bridge is one of the most challenging card games that have sig...

Technology Matters: Machine learning approaches to personalised child and adolescent mental health care.

Child and adolescent mental health
There has been much interest in the potential for machine learning and artificial intelligence to enhance health care. In this article, we discuss the potential applications of the technology to child and adolescent mental health services (CAMHS). We...

Interpretable instance disease prediction based on causal feature selection and effect analysis.

BMC medical informatics and decision making
BACKGROUND: In the big wave of artificial intelligence sweeping the world, machine learning has made great achievements in healthcare in the past few years, however, these methods are only based on correlation, not causation. The particularities of t...