Artificial Intelligence Medical Compendium

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

Showing 11,491 to 11,500 of 209,934 articles

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 

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 

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 

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 

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 

Frailty and Fitness in Older Adults With Acute Myeloid Leukemia: From Chronological Age to Multiparametric Assessment.

European journal of haematology
Acute Myeloid Leukemia predominantly affects older adults, who often present with comorbidities, functional impairment, and frailty, limiting eligibility for intensive chemotherapy or allogeneic transplantation. Historically, treatment options were r... read more 

Discriminating Relapsing-Remitting From Progressive Multiple Sclerosis Using Multidimensional Speech Biomarkers: An Independent Cohort Validation Study.

Journal of voice : official journal of the Voice Foundation
BACKGROUND/OBJECTIVE: Differentiating relapsing-remitting from progressive multiple sclerosis (MS) remains a clinical challenge, often requiring complex or invasive biomarkers. This study aimed to develop a machine learning model using acoustic speec... read more 

Prediction and Clinical Application of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma Based on Multi-modal Ultrasound Feature Fusion: A Multi-center Study.

Ultrasound in medicine & biology
OBJECTIVE: To develop and validate a deep learning model integrating multi-modal ultrasound information from B-mode ultrasound (BMUS) and strain elastography (SE) for accurate preoperative prediction of central lymph node metastasis (CLNM) in patient... read more 

A U-Net-based multimodal deep learning model for high-precision blood glucose prediction using non-invasive physiological data.

Computer methods in biomechanics and biomedical engineering
This study proposes a novel U-Net-based convolutional neural network for blood glucose prediction by integrating historical continuous glucose monitoring data with non-invasive physiological parameters. The model achieved robust performance using the... read more