Artificial Intelligence Medical Compendium

Over the past few years, skeleton-based action recognition has attracted significant focus in the area of computer vision. However, existing methods still face many challenges in feature extraction and dynamic feature learning for complex tasks. This... read more 

Turbidity loss is a significant issue in thawed huyou (Citrus changshanensis) juice, and understanding the composition of the precipitate is essential for effective control. In the present study, data-independent acquisition proteomics was used to in... read more 

Vitiligo lesion identification is essential for quantifying disease severity, monitoring disease progression and assessing treatment response, particularly for objective quantification. However, segmenting vitiligo lesions from clinical images is cha... read more 

BACKGROUND AND PURPOSE: The rapid integration of artificial intelligence (AI) into stroke care has outpaced many clinicians' ability to critically evaluate and safely implement these tools. We conducted a systematized literature review and developed ... read more 

BACKGROUND AND OBJECTIVE: Fluorescence molecular tomography (FMT) is a promising imaging technique that can quantify the internal distribution of tumor in the early stage. However, due to the ill-posed inverse problem caused by the severe photon scat... read more 

OBJECTIVE: To compare the diagnostic prediction accuracy and clinical reasoning of four state-of-the-art large language models (LLMs) - GPT-4o, Claude 3.7 Sonnet, DeepSeek R1, and Gemini 2.0 Flash - in complex endodontic case analysis using structure... read more 

BACKGROUND: Rat models are widely used in preclinical osteoporosis research to study disease mechanisms and evaluate therapies. Current Micro-CT studies mostly rely on cross-sectional comparisons at a single time point, and there is a lack of standar... read more 

This study investigates the dynamic evolution of aroma perception in grilled lamb skewers from raw to well-done stages and its corresponding neural signatures. Temporal Dominance of Sensations (TDS) and Gas Chromatography-Ion Mobility Spectrometry (G... read more 

BACKGROUND: Burnout, a global occupational health challenge, is particularly prevalent among Chinese nurses. Traditional research methods have limitations in capturing nurses' unfiltered burnout experiences. OBJECTIVES: To identify the core themes of... read more 

Fermentation is a key step in black tea processing, which promotes the flavor formation of black tea. However, the in-situ and non-destructive quality monitoring within fermentation chamber, a dense-fog environment, is still lacking. Here, a novel in... read more