Artificial Intelligence Medical Compendium

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

Showing 22,251 to 22,260 of 216,627 articles

Highly sensitive microphones based on large freestanding reduced graphene oxide membranes.

Nature communications
Highly sensitive acoustic sensing devices are essential for human‒machine interfaces and modern advanced artificial intelligence (AI) technology. Two-dimensional (2D) materials exhibiting atomically thin thickness and superior mechanical properties a... read more 

An advanced machine learning framework for predicting and experimentally validating Nb and Ta effects on the mechanical behavior of high-entropy alloys with reduced experimental dependency.

Scientific reports
This study employs machine learning (ML) models such as Decision Tree (DT), Extra Tree (ET), K-Nearest Neighbors (KNN), Support Vector Regressor (SVR) and Lasso to predict how Ta and Nb content effects the mechanical behavior of the CoCrFeNi HEAs at ... read more 

A large language model-based detection method for poisoning attacks in recommender systems.

Scientific reports
Recommender systems are vulnerable to poisoning attacks due to their open nature, allowing attackers to inject malicious user profiles to deliberately manipulate recommendation results. Existing detection methods mainly focus on rating behaviors whil... read more 

Deep learning and attention mechanisms to identify key genes and their implications for the origin of insect wings.

Scientific reports
Wings are a key trait innovation in the evolutionary history of insects, and contributes to the largest diversity of animals on the planet. However, we still have an incomplete understanding of the functional changes in genes behind this diversificat... read more 

Methods for classifying physical activities using accelerometer data: a scoping review.

NPJ digital medicine
Accurate classification of physical activity from accelerometer data is essential for health research and population-scale studies, yet the wide range of computational approaches has created inconsistencies in implementation, validation, and reproduc... read more 

Adaptive multimodal learning for driver cognitive state monitoring using transformer-based fusion with personalized meta-learning and federated optimization.

Scientific reports
Road accidents caused by driver fatigue and cognitive overload remain a significant public safety concern. According to recent traffic safety data, drowsy driving contributes to thousands of fatal accidents each year, emphasizing the urgent need for ... read more 

CT quantification of interstitial lung abnormalities: a prospective comparison between supine and prone positions.

European radiology
OBJECTIVE: To prospectively evaluate positional variability in quantitative CT (qCT)-derived measurements of interstitial lung abnormality (ILA) using the same-day supine and prone CT. MATERIALS AND METHODS: In this prospective study (February 2024-F... read more 

High risk score of breast cancer by artificial intelligence (AI) on screening mammograms: a review of negative and cancer cases.

European radiology
OBJECTIVES: To investigate mammographic features associated with high artificial intelligence (AI) risk scores as provided by two AI models applied to screening mammograms. MATERIALS AND METHODS: This retrospective study included 130,031 screening ma... read more 

Generation of contrast-enhanced cardiac MRI from contrast-free scans: a multi-center, multi-manufacturer study.

European radiology
BACKGROUND: Late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) is regarded as the non-invasive gold standard for myocardial tissue characterization. However, its reliance on gadolinium-based contrast agents limits its applicab... read more