Artificial Intelligence Medical Compendium

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

Showing 61,001 to 61,010 of 228,300 articles

Intelligent identification of osteoporosis on hip X-rays using vision transformer.

Bone reports
OBJECTIVE: This study aimed to develop and evaluate a deep learning model based on the Vision Transformer (ViT) architecture for the automatic classification of hip X-ray images into three categories: normal bone mass, osteopenia, and osteoporosis. T... read more 

A comprehensive soil pollution monitoring system based on convolutional recursive sequence network and terahertz spectroscopy.

Analytica chimica acta
BACKGROUND: Accurate analysis of the total amount of heavy metals and their distribution patterns in soil can aid in determining the extent of soil pollution and iake appropriate remediation measures.Traditional detection methods are inefficient, and... 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
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 

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

iScience
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
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 

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

European heart journal. Digital health
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 

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

Clinical radiology
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
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 

PANTHER Score: Protein-Affinity for Nucleic Target-binding, Hybridization, and Energy Regression.

RNA (New York, N.Y.)
Although protein-RNA interactions are crucial for many biological processes, predicting their binding free energies (ΔG) is a challenging task due to limited available experimental data and the complexity of these interactions. To address this issue,... read more 

Machine Learning-Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2- Early Breast Cancer Using Real-World and NATALEE Data.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Despite current standard-of-care endocrine therapy, distant recurrence remains a concern for patients with hormone receptor-positive (HR+)/HER2- early breast cancer (EBC). Understanding individual recurrence risk would aid in clinical decisi... read more