Artificial Intelligence Medical Compendium

OBJECTIVES: This study describes and evaluates the functionality of the InVivo7 3D imaging software as a semi-automated tool for identifying craniofacial landmarks in CBCT scans. METHODS: AI-assisted landmark tracing in InVivo7 was used to automatica... read more 

OBJECTIVE: Self-reported periodontal measures offer a practical alternative to clinical examinations in large-scale studies, but few validation efforts exist in Asia, where periodontitis is highly prevalent. Moreover, the diagnostic performance of in... read more 

BACKGROUND: Few studies have developed artificial intelligence (AI) systems for the automatic recognition of the anatomy of the stomach, a dynamic organ capable of expansion and contraction. This study aimed to create a 3-dimensional (3D) simulation ... read more 

The steady-state abundance of mRNA is governed by the interplay between transcription and degradation, yet the contribution of RNA stability to cancer biology remains incompletely understood. Here, we systematically investigate RNA decay dynamics acr... read more 

INTRODUCTION: This study aims to evaluate the quality, accuracy, readability, and understandability of patient information provided by various Artificial intelligence (AI)-based chatbots regarding orthodontic tooth extractions MATERIALS AND METHODS: ... read more 

BACKGROUND: Differentiating multiple system atrophy-cerebellar subtype (MSA-C) from spinocerebellar ataxia (SCA) is often difficult due to overlapping cerebellar and autonomic manifestations. Heart rate variability (HRV) provides a noninvasive measur... read more 

Reliable detection of critical defects in thick Carbon Fiber Reinforced Polymers, particularly delamination, is a significant challenge. This task becomes severely complicated when complex microstructures such as fiber waviness limit the effectivenes... read more 

Neuronal circuits are the key target of both evolutionary and individual adaptation that enable organisms to successfully navigate, predict and shape their environment. Synaptic-resolution connectomics has the ambition to map neuronal circuits at sca... read more 

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INTRODUCTION: Identifying patient characteristics predictive of treatment response is crucial for optimizing type 2 diabetes outcomes. Using data from three phase 2/3 imeglimin trials in Japan, this analysis applied machine learning to determine char... read more