Artificial Intelligence Medical Compendium

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

Showing 11,541 to 11,550 of 209,934 articles

An Artificial Intelligence Model for the Automatic Classification of the Cervical Vertebral Maturation Stages.

Dento maxillo facial radiology
OBJECTIVE: To develop an artificial intelligence (AI) model for automatic classification of cervical vertebral maturation (CVM) stages on lateral cephalometric radiographs (LCR). MATERIALS AND METHODS: Overall, 1140 LCRs were labeled and classified a... read more 

Toward simultaneous pseudo-space reconstruction and cell-type deconvolution of single-cell spatial transcriptome using SpaDicer.

Cell reports methods
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) offer complementary insights into tissue heterogeneity. Each modality is characterized by inherent trade-offs: scRNA-seq offers high resolution but lacks spatial context, while S... read more 

Development and Validation of the AI Health Acceptability Evaluation (AI-HAE) in Older Adults.

Computers, informatics, nursing : CIN
Artificial intelligence (AI) is increasingly used in health care, yet little is known about user acceptability, particularly among older adults. To address this gap, the AI Health Acceptability Evaluation (AI-HAE) was developed to assess perceptions ... read more 

The association between generative artificial intelligence use and foreign language classroom anxiety.

Acta psychologica
This study examines the association between Generative Artificial Intelligence use and foreign language classroom anxiety (FLCA) among undergraduates in an under-resourced private university in Western China. Data were collected from 630 first- and s... read more 

Quantifying the differential climate responses of compound soil erosion by an integrated conceptual-machine learning framework.

Journal of environmental management
Global warming is intensifying soil degradation in vulnerable ecosystems worldwide, and dry-hot valleys have become critical erosion hotspots under changing climatic conditions. However, systematic assessment of erosion types and their controlling fa... read more 

Surrogate-based optimization of land-use-informed LID strategies for enhanced urban flood resilience.

Journal of environmental management
Urban flooding, driven by rapid urbanization and climate change, poses a critical challenge to resilient urban development. Although low-impact development (LID) practices are effective for mitigating flood hazards, identifying optimal LID combinatio... read more 

Explainable Artificial Intelligence in Dentistry: A Systematic Review of Its Trust and Translation.

International dental journal
INTRODUCTION AND AIMS: Explainable artificial intelligence (XAI) is a set of methods and processes that make the decisions of artificial intelligence (AI) models understandable to those who are not conversant with the technology. This "black box" nat... read more 

Whole-body reduced-dose dual-energy CT with deep learning image reconstruction for detection of osteolytic lesions in multiple myeloma.

Radiography (London, England : 1995)
INTRODUCTION: Deep learning image reconstruction (DLIR) has been incorporated into dual-energy CT (DECT) to improve image quality. However, its applications in reduced-dose DECT for evaluating multiple myeloma remain unclear. This study aimed to eval... read more 

Comparative analysis of AI and human radiographer performance in radiographic image assessments: A pilot study using a large language model to simulate radiographer decision-making.

Journal of medical imaging and radiation sciences
INTRODUCTION/BACKGROUND: To determine whether a prompting-based, interpretable artificial intelligence (AI) system, specifically a large language model (LLM) that applies structured radiographic criteria derived from radiographer training, can approx... read more 

An In-Hospital Mortality Risk Model for Patients Undergoing Coronary Artery Bypass Grafting Based on Machine Learning: Cohort Study.

JMIR formative research
BACKGROUND: Ischemic heart disease remains the leading cause of death worldwide. Coronary artery bypass grafting (CABG) remains the primary surgical treatment for ischemic heart disease. There is currently a lack of highly accurate and widely applica... read more