Artificial Intelligence Medical Compendium

AIM: This prognostic study aims to develop a machine learning (ML) survival model for estimating the longevity (success and survival rate) of restorations in endodontically treated teeth (ETT). METHODOLOGY: Data were consolidated from four controlled... read more 

With the rise of machine learning-based decision support systems, the responsibility for potential errors is regularly questioned. Scholarly work regarding this issue has criticized a "responsibility gap," that is, unattributable responsibility for t... read more 

The combined operation of multiple particulate matter (PM) emission sources in industrial and port areas creates major environmental threats and serious public health risks. Current methods of monitoring and predictive models lack sufficient capabili... read more 

OBJECTIVES: Anemia is a significant global health concern, with hypochromic microcytic anemia being the most common type. Among its causes, β-thalassemia trait (β-TT) and iron deficiency anemia (IDA) share similar hematological features, making diffe... read more 

Molecularly imprinted polymers (MIPs) have emerged as transformative synthetic receptors for mycotoxin detection, addressing critical global food safety challenges through their exceptional stability and design flexibility. This review systematically... read more 

The investigation on neuronal dynamics advances the understanding of remarkable characters of the brain. In this paper, we investigate the dynamics of the FitzHugh-Nagumo system from single neuron to neuronal network. The neuron exhibits the bursting... read more 

Chaos-based reinforcement learning (CBRL) is a method in which the agent's internal chaotic dynamics drives exploration. However, the learning algorithms in CBRL have not been thoroughly developed in previous studies, nor have they incorporated recen... read more 

BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fusion surgeries have become more prevalent. There has been a corresponding emphasis on value-based cost reductions and outcomes research to identify whi... read more 

BACKGROUND CONTEXT: Current clinical guidelines lack clear, quantitative recommendations on intensity-specific physical activity (PA) levels for preventing back pain. Moreover, accelerometer-based evidence regarding dose-response relationships and in... read more 

BACKGROUND: Major depressive disorder (MDD) is prevalent and poses major public health implications. Autonomic nervous system (ANS) dysregulation and sleep disturbances are theorized to be distal risk factors. However, previous research has depended ... read more