Artificial Intelligence Medical Compendium

BACKGROUND: Up to 50% of patients presenting with ST-elevation myocardial infarction (STEMI) have multivessel coronary artery disease (CAD). Randomized trials suggest that complete revascularization improves outcomes, but the mechanism and identifica... read more 

Acidophilic, alkaliphilic, and halophilic proteins function under extreme conditions and hold great industrial value. However, their experimental identification is time-consuming and costly. Here, we introduce AHAPC, a unified computational framework... read more 

Mitochondrial dysfunction and immune dysregulation contribute to the pathogenesis of idiopathic pulmonary fibrosis (IPF). This study systematically identifies mitochondrial-related core regulatory genes and elucidates their potential associations wit... read more 

Although numerous studies have primarily associated creativity with spontaneous thought and its corresponding neural networks, effective creativity entails much more than uninhibited ideation. It requires the capacity to filter out irrelevant informa... read more 

BACKGROUND: Intensive Care Unit (ICU) nursing is demanding, requiring advanced clinical decision-making and emergency management skills. Simulation-based instruction is central to ICU nursing education but remains constrained by the cost and time req... read more 

In natural language generation, abstractive summarization (AS) is advancing rapidly due to transformer-based language models (LMs). Although decoding strategies significantly influence generated summaries, their significance is often overlooked. Give... read more 

PURPOSE: Combined spin- and gradient-echo EPI (SAGE-EPI) offers advantages in tissue quantification and dynamic imaging but suffers from low spatial resolution and geometric distortions. This study aims to develop a multiple overlapping-echo detachme... read more 

Herein, a renewable polarity-switchable PEC biosensor is reported for a highly sensitive and selective assay of circRNA in human whole blood, and machine learning is exploited to assist in the circRNA intelligent diagnosis. The target circRNA-DNA3 bi... read more 

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This article addresses a general approach to the multistability analysis for fuzzy multidimensional-valued memristive neural networks(FMVMNNs) with unbounded time-varying delays. By integrating fuzzy logic with memristive dynamics, establishing a gen... read more