Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 57,241 to 57,250 of 227,153 articles

Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Reliable detection of robust biomarkers from high-dimensional transcriptomic data remains a major challenge in computational oncology. Traditional approaches often suffer from overfitting and poor generalization due to the h... read more 

DeepHSI: A transferable and expandable hyperspectral framework for industrial plant origin identification: A case study of Pogostemon cablin (Blanco) Benth.

Talanta
Pogostemon cablin (Blanco) Benth (P.cablin), known for its unique aroma and rich chemical components, occupies an important position in the field of cosmetics, food and medicine. Identifying its origin is crucial for quality control and preventing ad... read more 

A predictive mathematical framework for hemoglobin-material interactions: development of a hemoglobin sensitivity index (HSI) for next-generation biomedical applications.

Journal of materials chemistry. B
Current biocompatibility assessment paradigms inadequately predict hemoglobin-material interactions, limiting the rational design of blood-contacting biomedical devices. We developed a hemoglobin sensitivity index (HSI), a predictive mathematical fra... read more 

6G conditioned spatiotemporal graph neural networks for real time traffic flow prediction.

Scientific reports
Accurate, low-latency traffic forecasting is a cornerstone capability for next-generation Intelligent Transportation Systems (ITS). This paper investigates how emerging 6G-era network context specifically per node slice-bandwidth and channel-quality ... read more 

Predicting the mechanical behavior of municipal solid waste layers in the Barmshour Landfill stability analysis.

Scientific reports
Slope stability is a crucial aspect of geotechnical engineering, particularly for landfills where municipal solid waste (MSW) layers are subjected to both static and seismic forces. This study represents the first application of hybrid metaheuristic-... read more 

Machine learning approach for wheat variety identification using single-seed imaging.

Scientific reports
Accurate identification of wheat varieties is essential for seed certification and precision agriculture, yet traditional visual inspection is subjective, labor-intensive, and often unreliable due to the morphological similarity among cultivars. This... read more 

Semantic-aware fault diagnosis of heavy-duty railway maintenance machinery and its potential in multisensor fusion systems.

Scientific reports
To address the semantic gap in physical sensor data for fault diagnosis of heavy-duty railway maintenance machinery and the underuse of semantic information in maintenance logs, this study proposes a model that treats fault-related text as a virtual ... read more 

Comparative study on predicting postoperative distant metastasis of lung cancer based on machine learning models.

Scientific reports
Lung cancer remains the leading cause of cancer-related incidence and mortality worldwide. Its tendency for postoperative distant metastasis significantly compromises long-term prognosis and survival. Accurately predicting the metastatic potential in... read more 

Radiomics analysis of early pregnancy ultrasound images to predict viability at the end of first trimester.

Scientific reports
To determine whether there are radiomic ultrasound features of early pregnancy when viability is unknown, which in combination with clinical features, may predict subsequent loss. Multi-centre retrospective cohort study, which included 500 cases of p... read more 

Early prediction of pressure injury risk in hospitalized patients using supervised machine learning models based on nursing records.

Scientific reports
This study aimed to employ supervised models for predicting pressure injuries in hospitalized patients using data collected within the first eight hours after admission, thus providing a tool for early assessment and prevention. The dataset included ... read more