Artificial Intelligence Medical Compendium

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

Showing 17,781 to 17,790 of 214,033 articles

A curated dataset and lightweight deep learning framework for tea leaf disease classification.

PloS one
Tea (Camellia sinensis) is the world's second most consumed beverage, enjoyed daily by more than two billion people. In Bangladesh, it serves as a cornerstone agricultural export and a major sector of the domestic economy. However, commercial tea cul... read more 

AI-Based Digital Pathology-Enabled Spatial-Omics Data Analyses of the Human Kidney.

Journal of proteome research
Identification of tissue-region-specific changes in glycosylation is crucial for understanding the pathogenesis of kidney diseases, yet it remains a great challenge. We developed a workflow that combines matrix-assisted laser desorption/ionization ma... read more 

Real-time spectral interferometry analysis of multi-soliton dynamics based on an unsupervised physical information embedding neural network.

Optics letters
The real-time characterization of soliton interaction parameters is of great significance for improving the performance of passively mode-locked fiber lasers and exploring the general laws of dissipative nonlinear systems. Currently, the extraction o... read more 

Direct neural prediction of freeform illumination optics.

Optics letters
Designing freeform optics for extended light sources remains a challenge in illumination design, since conventional design methods for zero-étendue sources are difficult to extend to general, finite-étendue sources. As an alternative to these convent... read more 

Signal-reference correlation for modal structure retrieval in disordered optical fields.

Optics letters
We experimentally demonstrate a signal-reference modal correlation method for retrieving structured optical modal signatures after propagation through a scattering medium. Hermite-Gaussian and Laguerre-Gaussian modes transmitted through the medium pr... read more 

Complication Risk Classification in Children and Adolescents With Type 1 Diabetes: Interpretable Machine Learning Study Based on Saudi Clinical Guidelines.

JMIR formative research
BACKGROUND: Complication risks in children and adolescents with type 1 diabetes (T1D) can lead to serious health outcomes if not detected early. Despite the availability of clinical data, there remains a gap in interpretable tools that support risk s... read more 

Predicting Esthetic Alteration of Resin-Matrix Ceramics Under Thermocycling with A Stacked Ensemble.

The International journal of prosthodontics
PURPOSE: To investigate the long-term optical properties of CAD/CAM resin-matrix-ceramics (RMCs) under thermocycling and further predict esthetic alteration using machine learning (ML). MATERIALS AND METHODS: Four materials (UP.CAD (UP), Hyramic (Hy)... read more 

An Interpretable Multimodal Architecture for the Discovery of High-Efficiency Thermally Activated Delayed Fluorescence Emitters.

ACS nano
The scarcity of high-quality experimental data often hampers data-driven materials discovery. This work introduces HoloMat-TADF, a holographic machine learning framework that provides predictive and interpretable insights from limited data sets. Its ... read more 

Machine learning-enabled microalgal bioprocesses for sustainable biofuel production: a comprehensive review.

Preparative biochemistry & biotechnology
The pursuit of sustainable alternatives to fossil fuels has significantly accelerated as a result of the global energy crisis and increasing environmental concerns. Owing to their high lipid content, rapid growth rates, and ability to make use of non... read more