Artificial Intelligence Medical Compendium

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

Showing 63,231 to 63,240 of 230,760 articles

The Retinal Age Gap as a Marker of Accelerated Aging in the Early Course of Schizophrenia.

Schizophrenia bulletin Jan 16, 2026
BACKGROUND AND HYPOTHESIS: Given the available findings confirming accelerated brain aging in schizophrenia (SZ), we conducted a study aimed at verifying whether quantitative retinal morphological data enable age prediction and whether schizophrenia ... read more 
Humans Machine Learning Female Young Adult Adult Male Aging Middle Aged Aging, Premature Tomography, Optical Coherence Retina Schizophrenia

Mental Health Professionals' Perspectives on Digital Remote Monitoring in Services for People with Psychosis.

Schizophrenia bulletin Jan 16, 2026
BACKGROUND AND HYPOTHESIS: Digital remote monitoring (DRM) captures service users' health-related data remotely using devices such as smartphones and wearables. Data can be analyzed using advanced statistical methods (eg, machine learning) and shared... read more 
Humans Health Personnel Female Adult Male Middle Aged Qualitative Research Attitude of Health Personnel Wearable Electronic Devices Mental Health Services Psychotic Disorders Telemedicine

Exploring Primary and Interaction Effects of Minor Physical Anomalies: Development and Validation of Prediction Models Using Explainable Machine Learning Algorithms for Early-Onset Schizophrenia.

Schizophrenia bulletin Jan 16, 2026
BACKGROUND AND HYPOTHESIS: Minor physical abnormalities (MPAs) are neurodevelopmental markers that can be traced to prenatal events and may be significant features of early-onset schizophrenia (EOS). Therefore, our study aimed to (1) find the primary... read more 
Humans Machine Learning Female Young Adult Adult Male Adolescent Taiwan Schizophrenia Age of Onset

A novel framework for fully automated co-registration of intravascular ultrasound and optical coherence tomography imaging data.

European heart journal. Digital health Jan 16, 2026
AIMS: To develop a deep-learning (DL) framework that enables fully automated longitudinal and circumferential co-registration of intravascular ultrasound (IVUS) and optical coherence tomography (OCT) images. METHODS AND RESULTS: Data from 230 patient... read more 

MFMINet: Multimodal fusion and cross-layer interaction network for semantic segmentation of high-resolution remote sensing images.

iScience Jan 16, 2026
In recent years, semantic segmentation of remote sensing images using deep convolutional neural networks (CNNs) has seen rapid development in fields like urban planning and land cover analysis. However, reliance on a single imaging modality is often ... read more 

A UAV image dataset for object detection with annotations generated using LabelImg and Roboflow.

Data in brief Jan 16, 2026
The dataset consists of drone images of cotton fields which were created to aid precision agriculture and machine learning-based weed detection research. The main goal is to enable the creation of object detection models for crop-weed differentiation... read more 

Navigating the artificial intelligence (AI) revolution in radiology: a practical guide to medical-legal and ethical imperatives for the practising radiologist.

Clinical radiology Jan 16, 2026
Artificial intelligence (AI) is now routinely integrated into radiology workflows, including worklist prioritisation, image interpretation, quantification, and reporting support. While these tools may improve efficiency and diagnostic performance, th... read more 

Deployable and Stiffness-Variable Miniature Actuator with Water Circulation Channel and Shape Memory Polymer.

Soft robotics Jan 16, 2026
Medical care in the gastrointestinal (GI) tract is a major global issue. Soft actuators are expected to solve associated issues such as poor accessibility and difficult operability within the GI tract. The actuators will be inserted into the body thr... read more 

Survey data on students' perceptions, knowledge, and use of learning analytics (LA) and generative artificial intelligence (GenAI) for the personalization of learning.

Data in brief Jan 16, 2026
This data article describes the dataset from the project ``Teacher Mediation in the Integration of Learning Analytics and Artificial Intelligence in Compulsory Secondary Education: Evidence, Strategies, and Practices for the Personalization of Educat... read more 

Enhancing Brain-Computer interface performance through source-level attention mechanism: An EEG motor imagery study.

Journal of neuroscience methods Jan 16, 2026
BACKGROUND: Brain-computer interfaces (BCIs) enable direct communication between humans and machines by translating brain signals into control commands. Electroencephalography (EEG) is a commonly used modality in BCI systems due to its non-invasivene... read more 
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