Artificial Intelligence Medical Compendium

A key challenge in biophysically detailed modeling is determining functionally effective synaptic weights. Here, we introduce a dendritic voltage surrogate that couples passive dendritic transfer impedances with the exact active currents computed fro... read more 

Existing soft grippers often suffer from slow actuation, continuous energy consumption during grasp maintenance, and limited payload-to-weight ratios, which restrict their application in dynamic and unstructured environments. In addition, fixed-geome... read more 

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Rapid analysis of food and agricultural products is important for evaluating quality and detecting contaminants, but the chemical complexity and physical heterogeneity of these matrices can make traditional workflows challenging and time-consuming. I... read more 

RATIONALE: Food classification and adulteration detection are challenged by the complexity of chemical matrices. Traditional descriptor-based methods fail to capture interactions in chromatography-mass spectrometry (CMS) data. This study compares a c... read more 

RATIONALE: Jingtong Granules is a clinically approved seven-herb formula for CSR, a condition in which radicular pain is sustained partly by inflammatory and immune processes, yet the immune-cellular state of CSR and the immune-level mechanism of the... read more 

Boron dipyrromethene (BODIPY) dyes are widely recognized for their strong visible-light absorption, high fluorescence, and structural modularity. Beyond fluorescence, molecular engineering can redirect their photoexcited states toward distinct photoc... read more 

As artificial intelligence (AI) has become widely accessible, physicians and patients increasingly turn to AI for personal and professional uses. Whether or not you use AI in your practice, other physicians use it in ways that affect you and your pat... read more 

Outcome-dependent sampling (ODS) designs are widely used in epidemiological and biomedical research as cost-effective alternatives to full cohort studies. While existing research has focused on parameter estimation and inference under specific models... read more 

OBJECTIVES: To assess the feasibility of estimating a radiographic Decayed-Missing-Filled-Teeth score (rDMFT), a proxy for the clinical DMFT index, from a single panoramic radiograph with a position-aware deep-learning pipeline. MATERIALS AND METHODS... read more