Artificial Intelligence Medical Compendium

The legal sector remains distinctive due to the complex language structure and specialized terminology of legal data. This complexity offers considerable contextual information, which demands natural language processing (NLP). The availability of hig... read more 

OBJECTIVE: This study aims to develop an AI-powered detection system for identifying dental anatomy-specifically tooth numbers and names-using YOLO (You Only Look Once) models to enhance diagnostic efficiency and automation in dentistry STUDY DESIGN:... read more 

BACKGROUND: This study aimed to develop a multimodal predictive model that integrates clinical variables, radiomic features (RFs), and deep learning-based features (DLFs) to improve prognostic accuracy in patients with blunt chest trauma (BCT). METHO... read more 

High-pressure homogenizers are used to disrupt oat cell aggregates in beverage processing applications. The mechanism of disruption remains poorly understood. Partially, this can be due to that previous studies either draw conclusions from individual... read more 

To address the urgent need for inclusion analysis in clean steel production, this study develops an automated detection system for large metallic samples. Integrating a high-precision CNC stage, multi-unit microscopic imaging, laser spectroscopy, and... read more 

BACKGROUND AND OBJECTIVE: Growth hormone deficiency (GHD) and idiopathic central precocious puberty (ICPP) are typically diagnosed through invasive stimulation tests that require multiple blood samples collected over time. To reduce the need for such... read more 

BACKGROUND AND OBJECTIVE: Frozen section evaluation of donor kidney biopsies is vital for determining transplant suitability, yet remains challenging due to interobserver variability and freezing-related artifacts. While deep learning (DL) has been u... read more 

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Hydrochar produced via hydrothermal treatment (HTT) is an emerging carbonaceous material whose properties are strongly governed by N-containing functional groups (NCFGs). In this study, machine learning (ML) was applied to predict and regulate four k... read more