Artificial Intelligence Medical Compendium

OBJECTIVE: This study examined global research trends in Radiology, Nuclear Medicine, and Medical Imaging by analyzing the 500 most-cited articles in the Web of Science (WoS) Core Collection. METHODS: A bibliometric search was conducted on June 15, 2... read more 

Whole Slide Imaging (WSI) plays a crucial role in predicting immune scores by providing detailed cellular and tissue-level insights, thereby enhancing pathological diagnosis accuracy and biomarker detection. Additionally, WSI contributes essential in... read more 

A single scent can unlock vivid memories. This study investigates the factors that make some odors more evocative than others. We examined odor-evoked episodic memory in 106 participants who experienced odors embedded in distinct visuospatial context... read more 

Locally advanced rectal cancer (LARC) is treated with neoadjuvant chemoradiotherapy (nCRT), but only a minority of patients achieve a pathological complete response (pCR). Predictive biomarkers of response could help guide treatment decisions, yet no... read more 

This study presents BRAIN-META, a reproducible deep learning methodology designed for multi-class brain tumor classification using structural MRI. The proposed approach combines ten hybrid CNN-Vision Transformer (ViT) models with a meta-learning ense... read more 

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BACKGROUND: Risk adjustment models in Medicare Advantage determine annual payments of over $300 billion in public funds to private companies. Policymakers want risk adjustment models that are both accurate and interpretable to ensure appropriate use ... read more 

Wastewater treatment plants (WWTPs) are critical for mitigating anthropogenic contaminants, yet their effectiveness in controlling waterborne pathogens has not been assessed globally. This study presents the first global assessment of Escherichia col... read more 

In the field of network security situational awareness (NSSA), it is challenging to find a usable dataset. Most of the datasets used in existing research papers are outdated, small, publicly unavailable due to the private infrastructure on which they... read more 

CONTEXT: Knee Osteoarthritis (KOA) is a progressive degenerative joint disorder and a major cause of disability worldwide. Radiographic grading using the Kellgren-Lawrence (KL) scale remains the standard diagnostic method, but inherent subjectivity a... read more