AIMC Topic: Algorithms

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Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis.

Biomedical engineering online
PURPOSE: The contouring of organs at risk (OARs) in head and neck cancer radiation treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies have applied deep learning (DL) algorithms to automatically contour head and...

In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.

BMC medical informatics and decision making
BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fall prediction in patients with...

Identification and validation of a pyroptosis-related signature in identifying active tuberculosis via a deep learning algorithm.

Frontiers in cellular and infection microbiology
INTRODUCTION: Active tuberculosis (ATB), instigated by Mycobacterium tuberculosis (M.tb), rises as a primary instigator of morbidity and mortality within the realm of infectious illnesses. A significant portion of M.tb infections maintain an asymptom...

Building Human-Like Artificial Agents: A General Cognitive Algorithm for Emulating Human Decision-Making in Dynamic Environments.

Perspectives on psychological science : a journal of the Association for Psychological Science
One of the early goals of artificial intelligence (AI) was to create algorithms that exhibited behavior indistinguishable from human behavior (i.e., human-like behavior). Today, AI has diverged, often aiming to excel in tasks inspired by human capabi...

Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms.

Neural networks : the official journal of the International Neural Network Society
Actor-critic methods are leading in many challenging continuous control tasks. Advantage estimators, the most common critics in the actor-critic framework, combine state values from bootstrapping value functions and sample returns. Different combinat...

Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel.

Neural networks : the official journal of the International Neural Network Society
This work addresses the quasi-synchronization of delay master-slave BAM neural networks. To improve the utilization of channel bandwidth, a dynamic event-triggered impulsive mechanism is employed, in which data is transmitted only when a preset event...

Artificial intelligence in emergency medicine. A systematic literature review.

International journal of medical informatics
UNLABELLED: Motivation and objective: Emergency medicine is becoming a popular application area for artificial intelligence methods but remains less investigated than other healthcare branches. The need for time-sensitive decision-making on the basis...

Improving accuracy of early dental carious lesions detection using deep learning-based automated method.

Clinical oral investigations
OBJECTIVE: To investigate the effectiveness of a convolutional neural network (CNN) in detecting healthy teeth and early carious lesions on occlusal surfaces and to assess the applicability of this deep learning algorithm as an auxiliary aid.

Multifunctional, Self-Adhesive MXene-Based Hydrogel Flexible Strain Sensors for Hand-Written Digit Recognition with Assistance of Deep Learning.

Langmuir : the ACS journal of surfaces and colloids
The conductive hydrogel as a flexible sensor not only has certain mechanical flexibility but also can be used in the field of human health detection and human-computer interaction. Herein, by introduction of tannic acid (TA) with MXene into the polya...

Multi-Cat Monitoring System Based on Concept Drift Adaptive Machine Learning Architecture.

Sensors (Basel, Switzerland)
In multi-cat households, monitoring individual cats' various behaviors is essential for diagnosing their health and ensuring their well-being. This study focuses on the defecation and urination activities of cats, and introduces an adaptive cat ident...