Artificial Intelligence Medical Compendium

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

Showing 13,151 to 13,160 of 210,785 articles

Quantification and Visualisation of Interpersonal Synchrony using Wearable Sensors: A Case Study on Autistic and Neurotypical Children.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 21, 2026
Interpersonal synchrony (IS), a key indicator of social interactions, is traditionally assessed through video data and manual coding methods, a process that is time-consuming and subjective. This study presents an automated sensor-based framework for... read more 

AI-Enhanced Nanophotonic Heterochain Sensor Enables Multiplexed Biomarker Detection across Serum, Urine, and Saliva for Stroke Differentiation.

ACS applied bio materials May 21, 2026
Background: Rapid and accurate identification of stroke subtype is critical for timely intervention, yet current diagnostic assays are limited by long turnaround times, dependency on centralized laboratories, and insufficient sensitivity in the ultra... read more 

A collaborative approach to applying Natural Language Processing (NLP) to Domestic Homicide Reviews (DHRs): A study protocol.

PloS one May 21, 2026
Since 2011, there has been a statutory requirement in England and Wales to conduct a Domestic Homicide Review (DHR) into any domestic abuse-related death: a multi-agency review into the death of a person aged 16 or over that appears resulting from vi... read more 

Identifying and validating ITGB2 and HNRNPAB as diagnostic biomarkers in chronic obstructive pulmonary disease using bioinformatics and Integrated Machine Learning Methods.

PloS one May 21, 2026
BACKGROUND AND AIM: COPD is a common respiratory disease characterized by progressive airflow restriction that severely affects patients' quality of life and leads to significant mortality rates worldwide. This study aims to strengthen the early diag... read more 

Precision improvement for indoor positioning based on fuzzy inference system with ultra-wideband wireless communications.

PloS one May 21, 2026
This paper investigates the enhancement of positioning accuracy in indoor non-line-of-sight (NLOS) environments using ultra-wideband (UWB) and angle of arrival (AoA) technologies. It examines the application of moving average filters and the adaptive... read more 

Learning semantic similarity from sentence pairs using hybrid features centric approach and explainable siamese neural networks.

PloS one May 21, 2026
Semantic embeddings play an important role in modern natural language processing because they help models understand meaning beyond individual words. Accurate text similarity is essential for many applications such as search, automated scoring, summa... read more 

Optimization of artificial intelligence models for prediction of new-onset cardiovascular disease in patients with arterial hypertension.

PLOS digital health May 21, 2026
Advanced preventive strategies are needed to decrease the burden of cardiovascular disease (CVD). We aimed to develop a predictive tool to identify individuals at higher CVD risk and facilitate proactive interventions to improve clinical outcomes. Th... read more 

Eigen-guided transformer: A data-driven approach for chronic kidney disease forecasting.

PloS one May 21, 2026
Accurate prediction of Chronic Kidney Disease (CKD) development is essential for prompt therapeutic intervention; nevertheless, it is difficult due to the highly individualized disease trajectories and intricate multivariate risk profiles. Contempora... read more 

Prediction of cognitive impairment through speech data analysis: A comparative evaluation of deep learning models.

PloS one May 21, 2026
BACKGROUND: The early detection of cognitive impairments, such as mild cognitive impairment (MCI) and Alzheimer's disease (AD), is essential for timely intervention and management. This study evaluates the performance of various deep-learning models ... read more 

Against the grain: Leveraging machine learning to analyze mudbrick structures.

PloS one May 21, 2026
Mudbricks have been a fundamental building material since the Neolithic, yet their compositional variability and technological flexibility can be challenging for systematic and reproducible fabric characterization. Morphometric parameters such as gra... read more 
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