Artificial Intelligence Medical Compendium

Artificial intelligence (AI) is rapidly transforming scientific disciplines, yet its adoption in food science remains fragmented and often constrained to narrow application scenarios. This perspective provides a practical guide for food scientists to... read more 

Spatial transcriptomics is a technology that captures gene expression at different spatial locations, widely used in tumor microenvironment analysis and molecular profiling of histopathology, providing valuable insights into resolving gene expression... read more 

The food industry is continually evolving, driven by the demand for innovative processing technologies capable of preserving the nutritional and functional properties while ensuring food safety and quality. Traditional thermal processing frequently r... read more 

The rapid development of large language models (LLMs) has accelerated research into applying artificial intelligence (AI) to domains such as medical question answering and clinical decision support. However, LLMs face substantial limitations in medic... read more 

Activation functions are essential in deep learning optimization for introducing non-linearity, shaping gradient dynamics, and influencing weight initialization. This paper presents a modified Gaussian function called R-Gaussian, an activation functi... read more 

OBJECTIVE: Current systematic literature reviews largely rely on manual screening of articles retrieved through keyword search, which is time-consuming and difficult to scale. To address this limitation, large language model (LLM)-based approaches of... read more 

BACKGROUND: Reliable tools for early prediction of treatment response to androgen deprivation therapy (ADT) plus novel androgen receptor pathway inhibitors (ARPIs) in metastatic hormone-sensitive prostate cancer (mHSPC) remain lacking. This study aim... read more 

BACKGROUND: Aggressive recurrence (AR) is an important factor affecting prognosis after surgery for hepatocellular carcinoma (HCC). This study aimed to establish and evaluate a visual calculator to predict AR using by machine learning (ML) model. MET... read more 

Frozen shoulder (FS) and osteoporosis (OP) are common age-related degenerative diseases, occurring more frequently in females, which suggests potential molecular links between them. This study aimed to identify shared genetic features and pathways of... read more 

BackgroundAn artificial intelligence (AI)-enabled rule-out device may autonomously remove patient images unlikely to have cancer from radiologist review. Many published studies evaluate this type of device by retrospectively applying the AI to large ... read more