Artificial Intelligence Medical Compendium

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

Showing 59,891 to 59,900 of 228,014 articles

Understanding purchase intention for genAI-enabled museum cultural and creative products using a SOR model.

Scientific reports
Generative artificial intelligence (GenAI) is reshaping cultural and creative design and raising new questions about how consumers evaluate museum cultural and creative products (MCCPs). Drawing on the Stimulus-Organism-Response (SOR) framework, this... read more 

Intratumoral and Peritumoral Fat CT‑Based Radiomics for Predicting Recurrence Risk in Non-Muscle-Invasive Bladder Cancer: A Two-Center Study.

Annals of surgical oncology
BACKGROUND: Non-muscle-invasive bladder cancer (NMIBC) has a high risk of recurrence, and multiple surgeries increase the disease burden on patients. Using computed tomography (CT)-based machine learning, this study established a pre-treatment recurr... read more 

Indoor air quality in primary schools: real-time monitoring and predictive modeling of PM10 in Kenitra, Morocco.

Environmental science and pollution research international
The health of children may be adversely influenced by the air quality in schools because they are more sensitive to indoor air pollutants. PM10, which consists of tiny particles that are 10 µm in size or smaller, carries notable dangers associated wi... read more 

Enhancing Explainability in AI-Based Interstitial Lung Disease Detection via Multi-Class Learning Based on Lesion Areas.

Journal of imaging informatics in medicine
Interstitial lung disease (ILD) comprises a group of lung disorders characterized by inflammation and fibrosis of the lung interstitium. Early detection is essential, yet identifying ILD on chest radiographs remains challenging. Recently, deep learni... read more 

Predicting HFA 30-2 Visual Fields with Deep Learning from Multimodal OCT-Fundus Feature Fusion and Structure-Function Discordance Analysis.

Journal of imaging informatics in medicine
Glaucoma is a leading cause of irreversible vision loss. During clinical follow-up, visual field (VF) tests (Humphrey Field Analyzer 30-2) assesses functional loss, while optical coherence tomography (OCT) and fundus imaging provide structural inform... read more 

Customized CNN Architectures Outperform Pre-Trained Models in Differentiating Normal Brain Tissues, Glioma, Meningioma, and Pituitary Tumors.

Journal of imaging informatics in medicine
Early and accurate detection of brain tumors is essential for improving treatment outcomes and patient survival. While pre-trained deep learning models such as ResNet, VGG, and MobileNet have achieved notable success in medical image classification, ... read more 

Multimodal Fusion and Transfer Learning for the Detection of Degenerative Parkinsonisms with Dopamine Transporter SPECT Imaging.

Journal of imaging informatics in medicine
Dopamine transporter (DAT) SPECT is a validated biomarker for Parkinson's disease (PD) and related degenerative parkinsonisms. Interpretation relies on visual assessment supported by striatal image features such as striatal binding ratios (SBRs). Dee... read more 

BioMark: biomarker analysis tool.

BMC bioinformatics
Biomarkers play a pivotal role in disease diagnosis and prognosis by offering molecular insights into biological states. The rapid growth of high-throughput omics technologies has enabled the generation of large-scale biomarker datasets, yet analyzin... read more 

Loss of biomechanical features reveals smooth muscle disruption and disease progression in prostate cancer.

Cancer cell international
BACKGROUND: Biomechanical features show notable heterogeneity in tumor risk stratification, yet their role in prostate cancer (PCa) progression remains unclear. This study aimed to elucidate the role and underlying mechanism of biomechanical features... read more