AI Medical Compendium

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

A Deep Learning Model for Dynamic Prediction of Acute Kidney Injury in Heart Failure Patientss.

The Canadian journal of cardiology Jan 16, 2026

BACKGROUND: This study aimed to develop and validate a dynamic prediction model for acute kidney injury (AKI) in heart failure (HF) patients. METHODS: Using data from 7,636 HF patients in the MIMIC-IV v3.1 database, we constructed a Long Short-Term M... read more

AggrescanAI: Prediction of Aggregation-Prone Regions Using Contextualized Embeddings.

Journal of molecular biology Jan 16, 2026

Protein aggregation plays a central role in the pathogenesis of many neurodegenerative diseases and poses major challenges in protein engineering. A key driver of this process is the presence of aggregation-prone regions (APRs) within protein sequenc... read more

Association between retinal AV ratio and coronary artery disease severity in acute coronary syndrome and chronic coronary syndrome Patients: A prospective study.

Indian heart journal Jan 16, 2026

BACKGROUND: Early, non-invasive detection of coronary artery disease (CAD) is a significant challenge. Given the anatomical and pathophysiological parallels between retinal and coronary microvasculature, retinal arteriovenous (AV) ratio may serve as ... read more

Computer Aided Polyp Detection Multi-center International Randomized Controlled Study with a Focus on Community Clinics: GAIN Clinical Trial.

Gastrointestinal endoscopy Jan 16, 2026

BACKGROUND/AIMS: Computer-aided polyp detection (CADe) systems can enhance polyp detection, although their performance has largely been evaluated at academic rather than community practices. This randomized controlled trial evaluated the impact of th... read more

Core Elements of Goals of Care Initiatives Across Eight Health Systems.

Journal of pain and symptom management Jan 16, 2026

For patients with serious illnesses, goals of care conversations improve quality of life and patient and family satisfaction and may reduce healthcare costs. However, these conversations often happen late in a serious illness or not at all. To better... read more

Artificial Intelligence Medical Compendium