Artificial Intelligence Medical Compendium

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

Showing 60,081 to 60,090 of 228,014 articles

A chronic kidney disease prediction system based on Internet of Things using walrus optimized deep learning technique.

Informatics for health & social care
The Internet of Things (IoT) and cloud computing (CC) concepts are commonly incorporated in healthcare applications. In the healthcare industry, a huge quantity of patient data is generated by IoT devices. The integral storage of mobile devices and p... read more 

Discovering Electron-Sponge Behavior at Organic-Metal Interfaces for CO2 Electroreduction via Machine Learning.

Angewandte Chemie (International ed. in English)
Molecular regulation at organic-metal interfaces is crucial for C─C coupling in CO2 electroreduction, directly influencing the formation of multi-carbon (C2+) products. However, the non-linear interplay of electronic, spatial, and topological molecul... read more 

Artificial Intelligence-assisted Risk Stratification of Thyroid Nodules with Atypia of Undetermined Significance.

European thyroid journal
OBJECTIVE: Given the limitations of conventional approaches in managing indeterminate thyroid nodules, there remains an unmet need for non-invasive assistant tools to improve risk stratification. This study aimed to evaluate the clinical applicabilit... read more 

Quality and Reliability of AI Information on Dental Implant Failure: A Comparative Multi-Model Analysis.

The Journal of craniofacial surgery
OBJECTIVE: This study aimed to develop a consensus-based set of patient questions on dental implant failure and to compare the clarity, quality, accuracy, reliability, and readability of responses generated by 4 widely used AI chatbots: ChatGPT-4, De... read more 

AI-Guided Droplet Microreactors Enable Rapid and Reproducible Protein Crystallization.

Small (Weinheim an der Bergstrasse, Germany)
Protein crystallization is essential for macromolecular structure determination, which in turn enables advances in drug discovery, enzyme engineering, and functional biology. However, conventional crystallization methods require large sample volumes,... read more 

Multimetallic nanostructures: innovations and applications in environmental remediation, biosensing, and medical technologies.

Nanoscale
Multimetallic nanostructures (MNs) have emerged as versatile materials with significant potential in various applications, including environmental remediation, biosensing, and medical technologies. Their unique electronic, catalytic, and optical prop... read more 

Machine Learning Integrated Extracellular Vesicle Proteome Analysis For Early Markers Of Bronchopulmonary Dysplasia.

Function (Oxford, England)
Bronchopulmonary dysplasia (BPD) is a serious and often lethal complication of pre-term birth that typically manifests about one month after pre-term delivery. The lungs of premature infants are underdeveloped and vulnerable to mechanical damage, inf... read more 

The Potential of Ensemble-Based Automated Sleep Staging on Single-Channel EEG Signal From a Wearable Device.

Journal of sleep research
Machine-learning-based sleep staging models have achieved expert-level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non-conventional referencing montage and the... read more 

Development of Betalactam-Predictor: A Clinical Decision Tool for Delabeling Low-Risk Betalactam Allergy Patients. Initial Validation in Penicillin Allergy.

Allergy
BACKGROUND: A label of betalactam (BL) allergy is estimated in around 10% of the population in their medical records. Second-line choices carry significant negative consequences, including reduced efficacy, effectiveness, and safety. This study aimed... read more 

Deep learning in stroke therapeutics: drug repurposing and beyond.

Expert opinion on drug discovery
INTRODUCTION: Deep learning is reshaping stroke research by accelerating drug repurposing amid heterogeneous pathology, narrow therapeutic windows, and poor translation. This review highlights current therapeutic challenges and emerging DL applicatio... read more