Artificial Intelligence Medical Compendium

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 

Deep learning (DL) applied to haematoxylin and eosin (H&E)-stained pathology images can predict microsatellite instability (MSI) in gastric cancer (GC). We evaluated its diagnostic accuracy and discriminative performance. PubMed, Embase, Cochrane Lib... read more 

High attrition rates across clinical drug development impose immense clinical and financial burdens, yet prospectively forecasting whether an individual trial will achieve its primary endpoint remains challenging. Here we present a machine-learning s... read more 

Cervical cytology screening relies on the visual assessment of nuclear and cellular morphology across thousands of cells per slide, a labor-intensive task that could benefit from quantitative computational support. Here we present CytoLens, a modular... read more 

Purpose To evaluate the external transportability of source-derived probability calibration for chest radiograph deep learning classifiers under distribution shift and determine its dependence on sample size and disease prevalence. Materials and Meth... read more 

Background: Hospital readmission is a common and costly outcome in patients with chronic obstructive pulmonary disease (COPD). Multimodal deep learning models combining structured electronic health record (EHR) data with physiological, imaging, and t... read more