Artificial Intelligence Medical Compendium

Deep learning models are effective in precipitation nowcasting. However, rainfall systems, as chaotic evolving systems, entail significant uncertainty. Previous studies have addressed precipitation nowcasting tasks by utilizing current image informat... read more 

Misinformation on social media has long been a pressing concern, and its spread is often exacerbated by social endorsement metrics such as likes and shares. While prior research has explored artificial intelligence (AI)-based strategies to combat mis... read more 

PURPOSE: To develop a 3D multiple overlapping-echo detachment (3D-MOLED) imaging technique, along with data generation and reconstruction strategies, for rapid whole-brain T2* and QSM. METHODS: MOLED encoding was extended to a 3D multi-shot acquisiti... read more 

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1. Traditional methods of assessing egg freshness, such as sensory evaluation and specific gravity testing, are labour-intensive and destructive. However, non-destructive testing (NDT) technologies offer significant advantages in terms of speed, accu... read more 

Artificial intelligence (AI) models in thyroid cancer are often not generalizable due to biased or non-representative training and validation datasets. We propose a four-stage roadmap emphasizing representative data collection, inclusion of contextua... read more 

OBJECTIVES: Early diagnosis of suspected sepsis is crucial to improve patient survival. Cell population (CP) data, a set of leucocyte research parameters from hematology instruments, has a potential as markers for infection. The aim of this study was... read more 

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by significant clinicopathologic heterogeneity. This study aimed to identify distinct ALS phenotypes by integrating brain 18 F-fluorodeoxyglucose posi... read more 

Fatigue is a major determinant of motorcycle accidents, posing a critical threat to road safety by impairing riders' psychophysiological performance and increasing the crash risk. This study introduces a real-time fatigue monitoring system specifical... read more 

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due t... read more