Artificial Intelligence Medical Compendium

High-quality 3D reconstruction of pulmonary segments plays a crucial role in segmentectomy and surgical planning for the treatment of lung cancer. Due to the resolution requirement of the target reconstruction, conventional deep learning-based method... read more 

Wooden breast (WB) is a prevalent meat quality defect in broilers, characterized by muscle hardness, and reduced functionality. To investigate its molecular basis, we applied an integrated multi-omics strategy combining untargeted metabolomics, prote... read more 

Estimating the ratio p/q between two probability density functions is a fundamental problem in machine learning. By training classifiers to distinguish between samples from p and q, the class-posterior probabilities can be used to estimate density ra... read more 

Incomplete multi-view data frequently arises in scenarios where certain views are unavailable due to sensor malfunctions or data corruption. In recent years, deep incomplete multi-view clustering has gained significant attention for its capacity to a... read more 

BACKGROUND: Effective cancer symptom management significantly impacts patient outcomes and quality of life. While Clinical Decision Support Systems show promise for enhancing symptom management, comprehensive analysis of their implementation in nursi... read more 

Heart disease remains one of the leading causes of mortality globally, resulting in millions of deaths annually and imposing a significant burden on healthcare infrastructure and clinical management systems. This alarming prevalence underscores the c... read more 

BACKGROUND: Due to altered drug clearance, renal impairment necessitates drug dose adjustments to prevent toxicity or therapeutic failure, yet inappropriate dosing persists. The utility of AI tools (e.g., ChatGPT®, DeepSeek®) in supporting renal dose... read more 

Soft robotics solutions to unmet clinical needs represent an emergent disruptive technology. However, clear guidelines on the selection of sterilization methods that consider the preservation of essential physical and functional characteristics of su... read more 

The mechanisms underlying the pathogenesis of septic cardiomyopathy (SCM) are intricate and incompletely understood. PANoptosis is a novel type of programmed cell death, and in the present study, bioinformatics, machine learning and experimental vali... read more 

BACKGROUND: Diagnosing central adrenal insufficiency (CAI) is challenging in patients with inconclusive morning cortisol (4-18 µg/dL). Dynamic tests like the short Synacthen test (SST) are imperfect, necessitating reliable tools to stratify CAI risk ... read more