Artificial Intelligence Medical Compendium

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

Showing 48,221 to 48,230 of 224,199 articles

Artificial Intelligence-Guided Design of Fluorescent Probes for Biomedical Applications.

Chemistry (Weinheim an der Bergstrasse, Germany)
Fluorescence imaging (FLI) has become a cornerstone for biomedical research owing to its non-invasive, high sensitivity, and exceptional spatial resolution. The effectiveness of FLI is primarily governed by the properties of fluorescent probes, inclu... read more 

Non-destructive chick embryo mortality prediction at pre-incubation and early incubation using hyperspectral imaging and explainable artificial intelligence.

British poultry science
1. This study evaluated the potential of visible-near infrared (Vis-NIR) hyperspectral imaging (HSI) combined with machine learning and explainable artificial intelligence (AI) to non-destructively predict chick embryo mortality before incubation and... read more 

Translating Mechanistic Insights Into Action and Revealing New Pathways: Machine Learning Approaches in Heart Failure With Preserved Ejection Fraction.

Journal of the American Heart Association
Heart failure with preserved ejection fraction is a prevalent condition that carries a high morbidity and mortality, with limited treatment options. Obtaining and integrating critical mechanistic insights are essential to development of optimal treat... read more 

Inadequate Preventive Dental Care Is Associated With Higher Cardiovascular Risk Identified by ECG-Based Artificial Intelligence Algorithms.

Journal of the American Heart Association
BACKGROUND: Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence-enabled electrocardiography (AI-ECG) algorithms accurately estimate cardiov... read more 

SwinSite: 3D Structure-Based Prediction of Protein-Ligand Binding Sites Using a Combined Vision Transformer and Convolution Model.

Journal of chemical information and modeling
Accurate identification of protein-ligand binding sites is an essential step in structure-based drug discovery. Herein, we present SwinSite, a deep learning framework that leverages a hybrid architecture combining 3D convolutional neural networks and... read more 

Manipulating 2D Nanomaterials: Shaping the Future of Intelligent Wearable Health Monitoring Devices.

ACS nano
Wearable electronic devices have become crucial for real-time, noninvasive human health monitoring. In particular, those based on 2D nanomaterials have attracted much attention due to their unique properties. However, there is a lack of comprehensive... read more 

Integrated Human Organic Pollutant Exposome and Metabolome Analysis Reveals Biomarkers and Health Risks from Electronic Waste Exposure.

Environmental science & technology
Escalating global electronic waste (e-waste) generation contrasts with <20% formal recycling rates. Policy gaps and inadequate enforcement exacerbate pollution transfer to under-regulated regions, causing substantial environmental and health problems... read more 

Moving Beyond Morphology: Toward a Morpho-Molecular Classification of Pleural Mesothelioma.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
Despite recent advances in the treatment of pleural mesothelioma, it remains a challenging and heterogeneous disease, with limited options for patients. Survival rates have only marginally improved in the past years, highlighting the need for a bette... read more 

The Potential Blind Spot of the τ-Dependent Exchange Density Functional Approximations.

Journal of chemical theory and computation
Density functional theory (DFT) predicts the existence of an exact functional that allows one to obtain the energy and electron density of the ground state of any molecular system. Although the exact functional is not known, its approximations have b... read more 

Negative correlation between habenular volume and duration of gambling disorder: Modulation by symptom severity and personality traits.

Journal of behavioral addictions
BACKGROUND AND AIMS: Gambling disorder (GD) patients continue to gamble despite negative consequences, and this behavior can be partly attributed to their insensitivity to failures and losses. GD may worsen over time and may stem from dysfunctions in... read more