Artificial Intelligence Medical Compendium

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

Showing 59,881 to 59,890 of 228,014 articles

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams.

Scientific reports
Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed concrete beams, machine learning (ML) has been wid... read more 

Role of MRI radiomics in deep learning-based prediction of intestinal diseases.

International journal of colorectal disease
BACKGROUND: Magnetic resonance imaging (MRI) is widely used for the diagnosis, evaluation, and follow-up of intestinal diseases. With advances in artificial intelligence, MRI radiomics and deep learning have emerged as promising tools for prognostic ... read more 

Integrative multimodal hybrid data fusion for mortality prediction.

Scientific reports
Multimodal Machine Learning (MML) methods address various efficient ways of driving insights from various data modalities, e.g., in healthcare settings, tabular electronic health records along with other modalities, such as medical imaging, electroca... read more 

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