Artificial Intelligence Medical Compendium

Knee articular cartilage lesions resulting from acute or chronic injury are frequently encountered in routine clinical magnetic resonance imaging (MRI). Acute lesions typically occur following recreational or athletic activity and are often associate... read more 

Graphene-based chips face persistent sensor-to-sensor variability due to manufacturing defects and polymer contamination, limiting their analytical reliability for healthcare applications. Here, we demonstrate that the integration of a machine learni... read more 

Among the mechanical factors contributing to pressure injuries, shear forces at the body-seat interface play a critical role. This study introduces a novel machine learning approach to predict these forces, using data from pressure mapping systems an... read more 

OBJECTIVES: To compare the interpretation results of different AI bone age assessment software using the TW3 (Tanner-Whitehouse 3) method. METHODS: The comprehensive analysis included bone age readings for various age groups (3-17 years) using five m... read more 

INTRODUCTION: Thalassemia is a major global health concern, as declared by the World Health Organization (WHO). Accurate screening of heterozygotes is of paramount importance for diagnostic guidance and disease mitigation. METHODS: Multiclass machine... read more 

Generative artificial intelligence (AI) tools, including large language models such as ChatGPT, have potential as educational adjuncts to enhance student learning. This study evaluated the perceived utility of and performance outcomes associated with... read more 

BACKGROUND: Cystic fibrosis (CF) monitoring relies on computed tomography (CT), but ultra-short echo time MRI (UTE-MRI) offers a radiation-free alternative. However, its clinical adoption is hindered by the laborious and subjective manual analysis, w... read more 

OBJECTIVE: This study aimed to (1) evaluate and compare the independent associations and predictive strength of type D personality and allostatic load (AL) against traditional risk factors for coronary artery disease (CAD) in patients with type 2 dia... read more 

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BACKGROUND: The postoperative prognosis of locally advanced colorectal cancer (LACRC) exhibits significant heterogeneity. However, conventional models for predicting disease-free survival (DFS) often lack the necessary precision. Therefore, we aim to... read more