Artificial Intelligence Medical Compendium

Current policies regarding artificial intelligence (AI) technology are facing difficulty to keep pace with its rapid development in healthcare due to the complexities involved in regulating this dynamic field. Similar to any pioneering technology, th... read more 

Mild traumatic brain injury typically produces no abnormalities on neuroimaging yet elicits symptoms that, in an increasing fraction of survivors, linger for years, particularly with recurring injuries. To elucidate the underlying biological substrat... read more 

With the advent of novel cancer treatment options such as immunotherapy, studying the tumour immune micro-environment (TIME) is crucial to inform on prognosis and understand potential response to therapeutic agents. A key approach to characterising t... read more 

The growing demand for efficient temporal processing has highlighted the limitations of von Neumann architectures, making photonic time-delay reservoir computing (TDRC) an attractive alternative. We develop a stochastic modeling framework for semicon... read more 

PURPOSE: To evaluate the impact of an artificial intelligence (AI)-assisted computer-aided detection (CAD) system on the diagnostic accuracy and confidence in chest radiograph interpretation among nonthoracic radiologists and radiology residents with... read more 

In fully cooperative environments, agents aim to learn a joint policy to achieve a shared goal. However, existing Multi-Agent Reinforcement Learning (MARL) approaches struggle when scaling to complex coordination tasks. However, as the complexity of ... read more 

With the development of digital imaging in medical microscopy, artificial intelligent-based analysis of pathological whole slide images (WSIs) provides a powerful tool for cancer diagnosis. Limited by the expensive cost of pixel-level annotation, cur... read more 

BACKGROUND AND OBJECTIVE: Patient-ventilator asynchrony (PVA) is prevalent in mechanically ventilated patients and adversely impacts clinical outcomes, but its real-time detection remains challenging. While artificial intelligence (AI) systems show p... read more 

In the context of global warming, understanding the evolving patterns of extreme snowfall is a critical scientific challenge. This study investigates the spatiotemporal trends, atmospheric drivers, and thermodynamic mechanisms of snowfall in China fr... read more 

Major depressive disorder (MDD) and Hashimoto's thyroiditis (HT) frequently co-occur, yet their shared molecular underpinnings remain unclear. We performed an integrative transcriptomics analysis combining transcriptomic profiling, immune cell deconv... read more