Artificial Intelligence Medical Compendium

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

Showing 231 to 240 of 199,772 articles

Trends in Cleft Palate Incidence in the Era of Prenatal Ultrasonography and Early Detection.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
ObjectiveTo evaluate whether temporal changes in prenatal detection and North Carolina abortion rates are associated with live-birth cleft palate (CP ± L) severity phenotypes.DesignRetrospective cohort study linking patient-level clinical data to ann... read more 

Uncovering Local Piezoelectric Field Effect in Mechanoluminescent Materials.

Advanced materials (Deerfield Beach, Fla.)
Elastic mechanoluminescent (ML) materials have significant potential in intelligent sensing, dynamic displays, and artificial intelligence. However, concrete experimental evidence of localized piezoelectric fields has long been missing in piezoelectr... read more 

Semi-automated detection of cleaning interactions using supervised machine learning.

Scientific reports
Cleaner fish engage in mutualistic interactions by removing ectoparasites from client species, a behaviour that has traditionally been quantified through labour-intensive manual video analysis. This method is not only time-consuming but also suscepti... read more 

Tri-MCA fusion: cross-modal attention and dynamic gating for multimodal sentiment analysis.

Scientific reports
Multimodal sentiment analysis aims to automatically infer human emotions by jointly analyzing information from multiple modalities, such as text, audio, and visual signals. Although recent deep learning approaches have significantly improved multimod... read more 

A LSTM-based model predictive control method for unlocking the potential of building energy flexibility in Malaysian commercial buildings.

Scientific reports
Buildings are regarded as promising energy flexibility resources due to their significant energy consumption and better integration into the electricity grid. To fully exploit the potential of building flexibility in tropical climates, optimized oper... read more 

Investigating the structure of the greylag goose vocal repertoire: what can unsupervised methods tell us?

Scientific reports
Defining a comprehensive signal repertoire is an important step to understanding a species' vocal communication system. Here, we investigated the vocal repertoire of a well-investigated model species in ethology: the greylag goose (Anser anser). We a... read more 

Integrating machine learning and WGCNA to identify core candidate genes and decipher immune-related molecular networks in TcdA/TcdB-associated CDI.

Antonie van Leeuwenhoek
Clostridioides difficile infection (CDI) remains a leading cause of healthcare-associated diarrhea and is characterized by high recurrence rates and inadequate predictive tools despite available therapeutic options. Current toxin- or nucleic acid-bas... read more 

Visual cues and strategies for perceiving elasticity.

Proceedings. Biological sciences
A key to interacting with the physical world is the ability to visually infer object properties, like elasticity, allowing us to anticipate object behaviour. Such perceptual inferences continue to challenge artificial intelligence systems, highlighti... read more 

Multi-omics integration reveals convergent extracellular matrix remodelling and lipid metabolic reprogramming as central axes of adipocyte differentiation from mouse embryonic stem cells.

Adipocyte
Adipogenesis from mouse embryonic stem cells (mESCs) offers a tractable model for dissecting early adipocyte commitment, yet the mechanisms coordinating this transition across multiple biological layers remain incompletely understood. Here we present... read more 

Layerwise stratification and band reordering in twisted multilayer MoTe2.

Proceedings of the National Academy of Sciences of the United States of America
We introduce a physics-informed training-data generation strategy that efficiently captures the complete interlayer interactions in multilayer moiré systems, enabling a machine-learning force field transferable across layer numbers and stacking confi... read more