Artificial Intelligence Medical Compendium

BACKGROUND AND OBJECTIVE: Both morphomics and radiomics are typical features when constructing brain networks on the clinically routine T1-weighted images (T1WI) in Alzheimer's disease (AD) diagnosis but the integration was rarely reported. The study... read more 

Informational policies such as labeling requirements and public awareness campaigns generally attract higher public support and face less political resistance than more interventionist policy measures such as taxes or bans. Yet, their behavioral impa... read more 

PURPOSE: To develop and validate a machine learning model that integrated MRI radiomics features and clinical factors for preoperative prediction of postoperative recurrence in cervical cancer. METHODS: This retrospective study included 268 patients ... read more 

OBJECTIVES: The aim of this study was to examine whether a Joint-Otoacoustic Emission (OAE) Profile, a combined analysis of both distortion- and reflection-type OAEs in the same ear, can distinguish between hearing loss due to noise exposure versus p... read more 

Accurately labeling outcomes in real-world data for machine learning is challenging due to data sparsity and imbalances. This study developed and evaluated a pharmacokinetic-pharmacodynamic (PKPD)-informed labeling strategy to enhance the risk predic... read more 

This review examines advanced strategies for the sustainable valorisation of food and agricultural waste (FAW) by integrating nanoengineering, artificial intelligence (AI), and innovative bioconversion platforms. The study aims to address the limitat... read more 

INTRODUCTION: Epiretinal membrane (ERM) is a prevalent vitreoretinal interface disorder characterized by fibro-cellular proliferation on the inner retinal surface. The prevalence increases markedly with age, and progressive membrane contraction disto... read more 

BACKGROUND: Although affective disorders are a major driver of disability worldwide, there is a lack of understanding of the mechanisms and modulating factors involved in the long-term disease trajectories. OBJECTIVES: Our goal is to determine key co... read more 

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