Artificial Intelligence Medical Compendium

OBJECTIVES: In 2022, a multidisciplinary group of experts and patients published a Model for ASsessing the value of AI (MAS-AI) in medical imaging. MAS-AI is a critical tool for decision-makers, enabling them to make informed choices on the prioritiz... read more 

The challenge of flocking collision avoidance lies in selecting the optimal strategy that balances decision-making intelligence and resource saving in a complex dynamic environment. Meanwhile, the design of the collision avoidance reward function for... read more 

In recent years, heatmap regression-based methods have become a dominant approach in facial landmark detection (FLD), demonstrating impressive performance. However, these methods generally predict landmark coordinates by optimizing heatmaps based on ... read more 

Artificial intelligence (AI) is rapidly becoming one of the key technologies of this century. The majority of results in AI thus far have been achieved using deep neural networks trained with a learning algorithm called error backpropagation, always ... read more 

Advancements in artificial intelligence have propelled affective computing toward unprecedented accuracy and real-world impact. By leveraging the unique strengths of brain signals and ocular dynamics, we introduce a novel multimodal framework that in... read more 

BACKGROUND AND OBJECTIVES: Middle meningeal artery (MMA) embolization is an emerging treatment option for chronic subdural hematoma. Surgeons must pay close attention to multiple vessels when using liquid embolic agents to avoid complications. Uninte... read more 

This review provides a comprehensive overview of recent transformative advancements in diagnostic imaging that position Japan at the forefront of radiological innovation. We highlight pivotal innovations that enhance diagnostic capabilities and redef... read more 

BACKGROUND: Brugada syndrome (BrS) is a hereditary arrhythmia characterized by distinctive electrocardiographic patterns and a high risk of sudden cardiac death. Although SCN5A mutations account for 20%-30% of cases, the majority remain unexplained. ... read more 

BACKGROUND: The integration of generative artificial intelligence (GenAI) into academic publishing presents new opportunities and ethical challenges. Transparent editorial oversight is essential, yet the extent of GenAI policy adoption among vascular... read more 

BACKGROUND & AIMS: Esophageal motility disorders, such as achalasia, require the use of multiple tests to establish a diagnosis. Patients are first assessed with upper endoscopy, but subtle disease indicators are often overlooked during the procedure... read more