Artificial Intelligence Medical Compendium

OBJECTIVES: To evaluate the performance of a CNN-based (convolutional neural networks-based) AI software for automatic recognition and measurement of minimal levator hiatus in transperineal ultrasound volumes from postpartum women, and to assess its ... read more 

Effective control of key parameters is critical for regulating pollutant emissions in municipal solid waste incineration (MSWI), but existing research on these parameters remains limited and lacks comprehensiveness. This study used over 600,000 indus... read more 

Accurate anatomical segmentation in computed tomography (CT) imaging is vital for diagnostics and virtual surgical planning in head and neck surgery, yet manual methods remain time-consuming and inconsistent. This study presents a dual-model artifici... read more 

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ETHNOPHARMACOLOGICAL RELEVANCE: Artemisia argyi Folium (AAF) has been traditionally used for its medicinal properties, and understanding its anti-inflammatory activity across different regions is crucial for its effective application in herbal medici... read more 

Soil pollution threatens human health and food security, particularly in industrial legacy sites. Accurate three-dimensional distribution modeling of soil contamination is crucial for understanding pollutant migration and guiding targeted remediation... read more 

BACKGROUND & AIMS: We aimed to identify subgroups of patients with unresectable hepatocellular carcinoma (HCC) using a non a priori, data-driven machine learning approach to uncover subgroups with distinct profiles across a range of clinical and tumo... read more 

The study investigates the application of Artificial Intelligence (AI) driven neural network time series (NNTS) model for the forecasting prediction of dye removal using ultrasonic activated mixed biomass. Surface and functional characterization of u... read more 

The oral microbiome is shaped by environmental and host-associated factors, suggesting its utility for human profiling in forensics, particularly as an indicator of geographic origin and human migration. Using high-throughput sequencing and machine l... read more 

The invasiveness prediction in renal cell carcinoma (RCC) is of significant importance for the decision of clinical surgical plans and the patients' prognosis. Currently, besides invasive pathological assessment, it mainly relies on observation throu... read more