Artificial Intelligence Medical Compendium

read more 

OBJECTIVE: Anoikis, a form of programmed cell death triggered by detachment from the extracellular matrix, plays a crucial role in metastasis and immune escape in melanoma. We aimed to identify anoikis-related prognostic markers using integrated mach... read more 

PURPOSE OF REVIEW: To provide a primer for how augmented reality (AR)-guided surgical technology works at a fundamental level and discuss recent advances and limitations in a rapidly advancing field, including studies aiming to reduce current issues ... read more 

PURPOSE: While data-driven motion correction (DDMC) techniques have proven to enhance the visibility of lesions affected by motion, their impact on overall detectability remains unclear. This study investigates whether DDMC improves lesion detectabil... read more 

Semi-supervised medical image segmentation techniques have demonstrated significant potential and effectiveness in clinical diagnosis. The prevailing approaches using the mean-teacher (MT) framework achieve promising image segmentation results. Howev... read more 

The study of fungal genetics has undergone transformative advancements in recent decades, profoundly reshaping our understanding of fungal diversity, evolution, and pathogenesis. This review synthesizes cutting-edge molecular techniques revolutionizi... read more 

Excess reactive oxygen species leading to oxidative stress has been identified as a significant factor in cardiovascular disease. However, the molecular mechanisms of oxidative stress-related genes in thoracic aortic aneurysm have not been thoroughly... read more 

The critical period for visual function and ocular structure development occurs from 0 to 6 years of age, making standardized eye care and vision screening services during this stage vital for improving lifelong visual outcomes and quality of life. I... read more 

. Sleep apnea is a common sleep disorder associated with severe health risks, necessitating accurate and efficient detection methods.. This study proposes ModelS4Apnea, a deep learning framework for sleep apnea detection from electrocardiogram (ECG) ... read more 

. Limited-angle dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations are hindered by the chall... read more