Artificial Intelligence Medical Compendium

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

Showing 61,971 to 61,980 of 230,319 articles

Metalens-style image synthesis for metalens imaging via image-to-image translation.

Scientific reports
Metalenses offer wafer-scale, ultra-thin optics for compact cameras, but strong chromatic and field-dependent aberrations still limit their practical use. Deep learning-based aberration correction can restore high-quality images from metalens capture... read more 

Surface water quality prediction via an MLA-Mamba hybrid neural network with GRPO optimization.

Scientific reports
Surface water quality forecasting is crucial for pollution early warning and sustainable water resource management. However, accurate prediction of key water quality indicators remains challenging due to the highly nonlinear spatio-temporal dynamics ... read more 

AI-Assisted detection of corneal nerve structural abnormalities in early diabetic keratopathy: development and validation of a deep learning framework.

Scientific reports
To develop a deep learning-based computer-aided diagnostic model for the automated identification of corneal microneuromas from in vivo confocal microscopy (IVCM) images and to preliminarily assess its potential clinical utility in the context of dia... read more 

Domain adaptation, self-supervision, and generative augmentation enhance GNNs for breast cancer prediction.

Scientific reports
Breast cancer presents substantial molecular heterogeneity, requiring accurate subtype classification, receptor-status prediction, and survival estimation for precision care. Existing machine-learning models often fail to generalize across cohorts or... read more 

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