Artificial Intelligence Medical Compendium

PURPOSE: Accelerating magnetic resonance acquisition is essential for image guided therapeutic applications. Compressed sensing (CS) has been developed to minimize image artifacts in accelerated scans, but the required iterative reconstruction is com... read more 

INTRODUCTION: Retinoic acid receptor-related orphan receptor gamma t (RORγt) is a crucial transcription factor regulating Th17 cells, which secrete the cytokine IL-17. RORγt inhibitors are regarded as a therapeutic modality in a wide range of autoimm... read more 

Ziziphi Spinosae semen is a high-value food ingredient with medicinal properties, but it is increasingly subject to adulteration using cheaper substitutes such as Ziziphi Mauritianae semen and Hovenia acerba seeds. Conventional detection methods are ... read more 

Multi-Agent Deep Reinforcement Learning(MADRL) faces significant challenges in exploration-exploitation trade-off during training, particularly when learning collaborative behaviors through continuous environment interactions. Current exploration met... read more 

Mobile health (mHealth) leverages mobile technologies, including smartphones, wearables, and apps, to support clinical care, administration, education, and communication. This article reviews mHealth applications from the physician's perspective, hig... read more 

In this review, I show how Generative AI (GAI) utterly transforms how we represent, access, expose and cover, find and lose, sanitise and toxify, use and abuse, and communicate with, the past. The term 'collective memory' has become common parlance f... read more 

This work explores backdoor attack, which is an emerging security threat against deep neural networks (DNNs). The adversary aims to inject a backdoor into the model by manipulating a portion of training samples, such that the backdoor could be activa... read more 

BACKGROUND: Oncologic emergencies in critically ill cancer patients frequently require rapid, real-time assessment of tumor responses to therapeutic interventions. However, conventional imaging modalities such as computed tomography and magnetic reso... read more 

STUDY DESIGN: Cross-sectional study. OBJECTIVE: This study aimed to analyze the failure patterns of expandable corpectomy cages. SUMMARY OF BACKGROUND DATA: Expandable corpectomy cages offer significant advantages for anterior column reconstruction b... read more 

BACKGROUND: Amyotrophic Lateral Sclerosis (ALS) is a severe neurodegenerative disease, and there is currently an urgent need to identify valuable biomarkers to accelerate diagnosis, optimize treatment and prognosis. METHODS: To conduct a bibliometric... read more