Artificial Intelligence Medical Compendium

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

Showing 41,901 to 41,910 of 223,853 articles

Utilizing stimulation-evoked hemodynamic activity to predict antidepressant response to intermittent theta-burst stimulation in adults with major depression.

Journal of affective disorders
BACKGROUND: The instantaneous neural response to prefrontal theta burst stimulation (TBS) may serve as predictive marker for antidepressant treatment success. This study aimed to (1) assess whether baseline theta burst stimulation (TBS)-induced prefr... read more 

A review of artificial intelligence-based research on chronic obstructive pulmonary disease.

Respiratory medicine
In recent years, with the rapid development of artificial intelligence (AI), Chronic Obstructive Pulmonary Disease (COPD), one of the world's three major chronic diseases, has achieved remarkable progress in diagnosis, grading, and prognosis, which i... read more 

Machine learning-empowered nanozyme-based aptasensor arrays for accurate discrimination and sensitive quantification of kynurenine pathway metabolites.

Biosensors & bioelectronics
Kynurenine pathway (KP) metabolites are closely associated with physiological homeostasis and pathological progression, serving as pivotal disease biomarkers. However, efficient simultaneous discrimination and quantification of these structurally ana... read more 

Committor-regularized learning of differentiable collective variables from non-differentiable structural descriptors.

The Journal of chemical physics
Collective variables (CVs) are essential for interpreting and accelerating rare events in molecular simulations, yet their construction is constrained by the requirement of differentiability with respect to atomic coordinates. This excludes many powe... read more 

Physics-aware deep learning models for predicting the heterogeneous mechanical properties of polymeric nanostructured materials.

The Journal of chemical physics
Developing innovative materials with superior properties has been a major engineering challenge. Rationally designed polymer nanocomposites represent an emerging field that offers materials with enhanced mechanical properties and added functionalitie... read more 

EfficientLoRA: Rethinking the efficiency of low-rank adaptation in pre-trained language models.

Neural networks : the official journal of the International Neural Network Society
Fine-tuning pre-trained language models to adapt to downstream tasks has become a key paradigm in natural language processing. Low-Rank Adaptation (LoRA) reduces computational and storage overhead by introducing low-rank matrices to adapt to specific... read more 

Ethmoid sinus CBCT imaging as a biometric instrument: dataset creation for deep learning identification.

European journal of radiology
BACKGROUND: Internal cranial structures such as the sphenoid and ethmoid bones, along with their associated sinuses, provide valuable biometric information for human identification, particularly when conventional modalities such as fingerprints, dent... read more 

Machine learning-based methods for predicting postpartum depression: A review.

Artificial intelligence in medicine
Postpartum depression (PPD) is a widespread mental illness after delivery, which has a substantial impact on the health of both mothers and infants. Machine learning (ML) has developed rapidly and plays a vital function in disease prediction. This ar... read more 

Automated micropillar array design with Bayesian optimization and computational fluid dynamics.

Journal of chromatography. A
In recent years, machine learning has been increasingly applied across various scientific fields, including microfluidics. This study presents a fully automated workflow for the optimization of the geometry of periodic microfluidic systems for chroma... read more 

Foodie traps within facebook cannabis promotional posts: Deploying multimodal deep learning AIs to monitor audience engagement.

Drug and alcohol dependence
BACKGROUND: Cannabis marketing has flourished due to the legalization of recreational cannabis across multiple U.S. states, particularly on social media platforms that effectively reach adolescents and young adults. Understanding how cannabis promoti... read more