Artificial Intelligence Medical Compendium

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

Showing 72,601 to 72,610 of 235,381 articles

EFLM checklist for the assessment of AI/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applications.

Clinical chemistry and laboratory medicine
The integration of artificial intelligence (AI) and machine learning (ML) into laboratory medicine shows promise for advancing diagnostic, prognostic, and decision-support tools; however, routine clinical implementation remains limited and heterogene... read more 

Machine learning-assisted exploration of covalent organic frameworks for short-chain per- and polyfluoroalkyl substances (PFAS) removal from water.

Journal of colloid and interface science
Short-chain per- and polyfluoroalkyl substances (PFAS) are increasingly being adopted as alternatives to long-chain PFAS, which have been regulated or banned in several countries due to their persistence in water and soil and associated human health ... read more 

Adjustable spot wide-field Raman spectroscopy combined with machine learning for accurate classification of breast cancer cells.

Talanta
Cell heterogeneity presents significant challenges for the accurate diagnosis and classification of breast cancer at the single-cell level using Raman spectroscopy. Traditional Raman spectroscopy systems are limited by their small laser spot sizes, w... read more 

MAN-GNN: An interpretable biomarker architecture for neurodevelopmental disorders.

Neural networks : the official journal of the International Neural Network Society
Neurodevelopmental disorders exhibit highly similar behavioral characteristics in clinical assessments, heavily relying on subjective behavioral reports, leading to insufficient understanding of the neurobiological mechanisms behind inter-patient het... read more 

State-flipped control design for the stabilization of probabilistic Boolean control networks.

Neural networks : the official journal of the International Neural Network Society
Stabilization is a fundamental issue in modern control theory. In the past decades, significant efforts have been invested in deriving necessary and sufficient conditions for verifying the global stabilization of probabilistic Boolean control network... read more 

A biologically plausible model of astrocyte-neuron networks in random and hub-driven connectivity.

Neural networks : the official journal of the International Neural Network Society
Recent research studies in brain neural networks are highlighting the involvement of glial cells, in particular astrocytes, in synaptic modulation, memory formation, and neural synchronization, a role that has often been overlooked. Thus, theoretical... read more 

Analysis of Water Fluoridation Debates on Meta Platforms Using Advanced Machine Learning Approaches.

JDR clinical and translational research
Social media platforms, such as Facebook and Instagram, play a pivotal role in shaping public opinion on health interventions, including community water fluoridation (CWF). Despite its recognition as a safe and effective public health measure, CWF re... read more 

The contribution of vibrational spectroscopy and data analytics towards the achievement of the global sustainability goals.

Journal of the science of food and agriculture
The United Nations Sustainable Development Goals (UN SDGs) were defined to improve the quality of life of the global population particularly regarding social and economic aspects, with a major focus on environmental sustainability. The incorporation ... read more 

An acoustic signal-to-image conversion integrated convolutional neural network model for egg crack detection.

British poultry science
1. The presence of fractures or cracks in eggshells represent a significant risk in terms of food safety. Bacteria and viruses are likely to enter through these cracks, which increases the risk of food poisoning. Furthermore, deformations in the shel... read more 

Prospective clinical validation of a novel artificial intelligence system for real-time detection of solid pancreatic masses during endoscopic ultrasonography.

Endoscopy
Endoscopic ultrasonography (EUS) is the most sensitive modality for accurately establishing a tissue diagnosis in patients with solid pancreatic masses. However, small lesions can be challenging to detect, particularly for less experienced endosonogr... read more