Artificial Intelligence Medical Compendium

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OBJECTIVES: To investigate the phase-specific impact of cumulative nonselective electrical stimulation (ES) on long-term functional sequelae and subsequent botulinum toxin (BoNT) therapeutic durability in patients with severe Bell's palsy. METHODS: I... read more 

Low-abundance exosomal proteins from trace plasma volumes remain challenging to profile by mass spectrometry. Here, we report a lanthanide metal-organic framework (Ln-MOF) functionalized with boronic acid and carboxylate dual ligands, which captures ... read more 

The rapid accumulation of multi-omics data provides increasing opportunities for cancer biomarker discovery, but the heterogeneity and high dimensionality of these datasets remain major challenges for data integration and analysis. This review examin... read more 

Chronic atrophic gastritis (CAG) progresses through distinct pathological stages to gastric cancer. This computational study employed network pharmacology and bioinformatics to predict the active compounds, targets, and pathways of five medicinal-foo... read more 

Antimicrobial peptides (AMPs) are critical candidates for addressing the global antibiotic resistance crisis. AI-driven quantitative models capable of directly predicting peptide antimicrobial activity, specifically minimum inhibitory concentration (... read more 

The expansion of dermatological mobile health (mHealth) and teledermatology has generated numerous diagnostic support tools, typically validated against traditional face-to-face assessments. Histopathological confirmation through skin biopsy is invas... read more 

BACKGROUND: Clinical temporal relation extraction (CTRE) is essential for reconstructing patient timelines from unstructured electronic health records (EHRs). However, the linguistic complexity of clinical notes and the high cost of expert annotation... read more 

Randomized neural networks retain an output-linear least-squares solve, but globally sampled random features may fail to capture the spatial and scale structure of PDE solutions. We propose SFRBE--RaNN, a two-stage adaptive trial-space construction. ... read more 

Camera-to-robot pose estimation from a monocular image is significant for vision-based robot navigation and control. However, recovering 3D structural features from 2D observations remains a challenging task. Existing camera-to-robot pose estimation ... read more