Artificial Intelligence Medical Compendium

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

Showing 70,201 to 70,210 of 234,131 articles

Identifying indicators of consciousness in AI systems.

Trends in cognitive sciences
Rapid progress in artificial intelligence (AI) capabilities has drawn fresh attention to the prospect of consciousness in AI. There is an urgent need for rigorous methods to assess AI systems for consciousness, but significant uncertainty about relev... read more 

Development of explainable machine learning-based prediction models of depression with mild and severe insomnia in middle-aged and elderly Chinese people.

Journal of affective disorders
BACKGROUND: The risk of depression is significantly elevated in middle-aged and older adults with insomnia; however, the pathways between mild and severe insomnia are different. Most existing prediction tools treat insomnia as a single construct, ign... read more 

Resting-state functional connectivity of the fronto-limbic and default mode network as neural correlates of antidepressant response in major depressive disorder.

Journal of affective disorders
BACKGROUND: Major depressive disorder (MDD) is a leading cause of disability worldwide, yet antidepressant response remains highly variable, with many patients failing to achieve remission. Resting-state functional connectivity (RSFC) studies have li... read more 

Unconscious elevated bottom-up processing in depression: Insights from dynamic causal modeling with EEG and fMRI.

Journal of affective disorders
INTRODUCTION: MRI compatible EEG systems enable simultaneous EEG-fMRI data assessment, which provides high spatial and high temporal resolution of neural signaling data. Functional connectivity analyses suggest altered fronto-limbic emotion regulatio... read more 

Optimal adherence thresholds for oral anticoagulants in patients with atrial fibrillation using machine learning and population administrative data.

Journal of thrombosis and haemostasis : JTH
BACKGROUND: Adherence to oral anticoagulants (OACs) for atrial fibrillation (AF) stroke prevention is traditionally defined as taking 80% of doses as prescribed, but this threshold has not been clinically validated. OBJECTIVES: We identified OAC adhe... read more 

Design and optimization of indomethacin-loaded solid dispersion orally dissolving films: Machine learning and molecular dynamics study.

Colloids and surfaces. B, Biointerfaces
Indomethacin (IND) is a nonsteroidal anti-inflammatory drug (NSAID) with anti-inflammatory, analgesic, and antipyretic properties, and is widely used for the treatment of diverse inflammatory diseases. However, its poor aqueous solubility severely li... read more 

Real-time photoelectric sensing of edaravone for therapeutic efficacy in amyotrophic lateral sclerosis.

Journal of colloid and interface science
Amyotrophic lateral sclerosis (ALS) requires precise therapeutic monitoring of Edaravone, but current methods lack real-time capability. Herein, we developed a photoelectrochemical (PEC) sensor using a Bi4Ti3O12/BiOBr heterojunction for ultrasensitiv... read more 

AI-based portable liquid phase leukocyte detection system.

Biosensors & bioelectronics
BACKGROUND: White blood cells (WBCs) are vital components of the immune system, and accurate detection and classification are essential for diagnosing and monitoring various diseases. Traditional microscopic detection methods require expensive equipm... read more 

Deep learning-assisted SERS platform for label-free detection of celecoxib in serum using ag@Pt@porous silicon Bragg mirror composite substrate.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Celecoxib (CXB) is a non-steroidal anti-inflammatory drug used to prevent and treat arthritis. However, overdosing or improper use can cause adverse reactions. SERS is an important tool for therapeutic drug monitoring (TDM).The present study proposes... read more 

Structure-Based Classification of CRISPR/Cas9 Proteins: A Machine Learning Approach to Elucidating Cas9 Allostery.

Journal of molecular biology
The CRISPR/Cas9 system is a powerful gene-editing tool. Its specificity and stability rely on complex allosteric regulation. Understanding these allosteric regulations is essential for developing high-fidelity Cas9 variants with reduced off-target ef... read more