Artificial Intelligence Medical Compendium

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

Showing 3,341 to 3,350 of 168,679 articles

Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Scientific reports
Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with subtle early symptoms leading to delayed diagnosis. Ferroptosis, a cell death process associated with iron metabolism dysregulation, has been linked t... read more 

Machine learningdriven framework for realtime air quality assessment and predictive environmental health risk mapping.

Scientific reports
This research introduces a practical and innovative approach for real-time air quality assessment and health risk prediction, focusing on urban, industrial, suburban, rural, and traffic-heavy environments. The framework integrates data from multiple ... read more 

Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming.

Scientific reports
Soil plays a major role in the agricultural system. Soil composition detection can help farmers to take appropriate decision leading to proper crop growth. Soil organic carbon is crucial for many soil activities and ecological characteristics, is at ... read more 

Quantum Federated Learning in Healthcare: The Shift from Development to Deployment and from Models to Data.

IEEE journal of biomedical and health informatics
Healthcare organizations have a high volume of sensitive data and traditional technologies have limited storage capacity and computational resources. The prospect of sharing healthcare data for machine learning is more arduous due to firm regulations... read more 

3DFaceSculptor: A Common Framework for Image-Guided 3D Face Deformation.

IEEE transactions on visualization and computer graphics
We propose 3DFaceSculptor, a general-purpose framework for interactive 3D face editing. Given a source 3D face mesh with semantic materials, and a user-specified semantic image, 3DFaceSculptor can accurately edit the source mesh following the shape g... read more 

Enhancing Postural Monitoring in Wheelchair Users through Context Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Globally, the number of wheelchair users is steadily increasing. These people often adopt sitting patterns that reflect their functional status. Monitoring the user's postural status can help users and healthcare professionals to treat them. However,... read more 

Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study.

Scientific reports
Psychogenic erectile dysfunction (pED) is a prevalent male sexual dysfunction lacking organic etiology. Endeavors have been made in previous studies to disclose the brain pathological mechanisms of pED. However, the cortical morphological characteris... read more 

In-depth bioinformatics analysis uncovers the crosstalk genes and immune interactions among diagnostic markers linked to natural killer cells in patients with cirrhosis and sepsis.

Clinical and experimental medicine
Patients with cirrhosis face an elevated risk of developing sepsis, leading to an escalating mortality rate. This study focuses on the link between natural killer (NK) cells, cirrhosis, and sepsis. Our goal is to identify NK cell-related genes that c... read more 

Adaptive context biasing in transformer-based ASR systems.

Scientific reports
With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional... read more 

Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance.

Epilepsia
OBJECTIVE: Detection of seizures and rhythmic or periodic patterns (SRPPs) on electroencephalography (EEG) is crucial for the diagnosis and management of patients with neurological critical illness. Although automated detection methods are advancing,... read more