Artificial Intelligence Medical Compendium

With the continuous development of visual models such as Convolutional Neural Networks, Vision Transformers, and Vision Mamba, the capabilities of neural networks in semantic segmentation of remote sensing images have seen significant progress. Howev... read more 

Sepsis remains a leading cause of morbidity and mortality, yet routine diagnostics are slow, culture-dependent, and often lack the sensitivity or specificity required for early intervention. Prior studies rarely demonstrate clinical-grade performance... read more 

Accurate cellular segmentation is essential for cell morphology analysis and disease diagnosis. Traditional manual segmentation is prone to errors, while general segmentation algorithms based on deep learning often fail when dealing with imperfect cy... read more 

BACKGROUND: The rapid integration of generative AI into scholarly writing has created an inconsistent policy landscape, challenging academic integrity in nursing education. PURPOSE: This study analyzed nursing journals' publishing policies on AI-gene... read more 

OBJECTIVES: This study aims to systematically evaluate the efficacy and safety of recombinant human bone morphogenetic protein-2 (rhBMP-2) in promoting bone regeneration. MATERIALS AND METHODS: A comprehensive search of PubMed, Embase, Web of Science... read more 

Three-dimensional (3D) ultrasound vascular imaging (UVI) is essential for visualizing complex vascular structures. Row-column addressed (RCA) arrays, widely used for 3D UVI due to their hardware efficiency, suffer from point spread function (PSF) ani... read more 

In recent years, convolutional neural network (CNN)-based optical flow models for motion estimation have been applied to radio-frequency (RF) ultrasound and B-mode (BM) data, demonstrating excellent performance. However, their architectures result in... read more 

ObjectivesBenign paroxysmal positional vertigo (BPPV) is a prevalent triggers of persistent postural-perceptual dizziness (PPPD). The maladaptation of brain function may be one of the pathophysiology in PPPD. This study aims to identify brain functio... read more 

BACKGROUND: There is a wide gap in epilepsy diagnosis, particularly in low- and middle-income countries. We used machine learning models to identify seizure-related factors associated with the epilepsy diagnostic gap within the Nairobi Urban Health a... read more 

Access to eye care remains a global health priority, particularly for underserved populations in rural, Indigenous, and low-income communities. Despite advancements in ophthalmic care and technology, substantial inequities persist, exacerbating preve... read more