Artificial Intelligence Medical Compendium

PURPOSE OF REVIEW: To review contemporary applications, performance, and implementation challenges of artificial intelligence (AI) in the radiological and pathological diagnosis of prostate cancer, and to highlight emerging multimodal AI biomarkers f... read more 

The convergence of high-resolution multi-omics technologies with computational systems biology is transforming plant physiology by enabling predictive, mechanistic, and field-relevant insights into crop performance, adaptation, and resilience. This r... read more 

Transposable elements (TEs) are key drivers of genomic variation and species evolution. Although advances in high-throughput sequencing have enabled population-scale identification of TE insertions, accurate detection across large and complex genomes... read more 

Prostate cancer is a prevalent and serious health concern, ranking among the most frequently diagnosed cancers and a leading cause of cancer-related deaths in men worldwide. Early detection and accurate diagnosis are crucial for improving patient out... read more 

Immune checkpoint inhibitors have partially improved treatment outcomes for patients with head and neck squamous cell carcinoma (HNSCC), but the response rate remains low, with only a few patients benefiting. Mechanistically, HNSCC tumor cells often ... read more 

Signal transduction is a complex system governing cellular behavior across physiological and pathological contexts. Advances in systems biology have positioned cell modeling as a powerful tool for reconstructing the dynamics and trajectories of disea... read more 

BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Although stabilization is the primary management for suspected c-spine injuries, lapses in stabilization frequently occur during trauma resuscitation. To ... read more 

With the advancement of generative artificial intelligence, previous studies have achieved the task of generating aesthetic images from hand-drawn sketches, fulfilling the public's needs for drawing. However, these methods are limited to static image... read more 

An effective leak detection system is critical for maintaining urban infrastructure operations. Machine learning-based leak detection systems represent a significant advancement, enhancing detection accuracy and efficiency. However, their performance... read more 

It is shown that the activity of a whole-brain model based on a Hopfield recurrent neural network exhibits a scaling regime whose exponents depend on both the number of parcels and the decay length of the coupling strength. This scaling regime recove... read more