Artificial Intelligence Medical Compendium

To promote the intelligent development of the poultry industry, this study systematically analyzed volatile organic compounds (VOCs) in three Chinese Blanched Chicken (CBC) breeds (Mahuang, Tuer, and Huangyou) using gas chromatography-ion mobility sp... read more 

Coastal marine water quality emerges from complex and dynamic feedbacks between natural processes and human activities, yet disentangling their respective influences remains a persistent challenge. This study proposes an interpretable, data-driven fr... read more 

OBJECTIVE: This review article outlines the transformative impact of Artificial Intelligence (AI) in the pharmaceutical sciences, focusing on its integration with modern technologies and its role in advancing medication research, development, product... read more 

Ritchie et al. (this issue) argue that a deeper understanding of occipitotemporal cortex (OTC) requires shifting emphasis from category selectivity to behavioral relevance. They suggest that focusing on categories such as faces, bodies, or scenes is ... read more 

PURPOSE: This study aims to investigate whether a diagnostic AI model can effectively support lesion detection and staging in non-small cell lung cancer (NSCLC) [1⁸F]FDG PET/CT studies, focusing on the distinction between technical segmentation accur... read more 

Magnetic Resonance Imaging (MRI) of the heart provides precise visualization of cardiac anatomical structures, making accurate automatic segmentation highly valuable for assisting in the diagnosis of cardiovascular diseases. Numerous deep learning-ba... read more 

This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to identify the most in... read more 

Microbial contamination of heavily urbanized watersheds is of significant public health concern. Escherichia coli (E. coli) is frequently traced as a fecal indicator bacterium (FIB) for microbial contamination, thereby highlighting the need for real-... read more 

PURPOSE: The purpose of this study was to assess the benefit of a deep learning-based image reconstruction (DLBIR) for improving image quality in orbital magnetic resonance imaging (MRI) at 3 Tesla (T). MATERIALS AND METHODS: Seventy-one patients (48... read more 

The treatment of migraine is hampered by inter-individual variability, leading to an inefficient "trial and error" approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outc... read more