Artificial Intelligence Medical Compendium

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

Showing 2,011 to 2,020 of 165,462 articles

A scoping review of artificial intelligence applications in clinical trial risk assessment.

NPJ digital medicine
Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),... read more 

Video analysis reveals early signs of Bradykinesia in REM sleep behavior disorder and Parkinson's disease.

NPJ Parkinson's disease
Idiopathic REM sleep behavior disorder (iRBD) is a strong predictor of neurodegenerative diseases like Parkinson's disease (PD). Early detection of motor impairments such as bradykinesia is critical for identifying at-risk populations. This study ana... read more 

Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study.

JMIR human factors
BACKGROUND: The use of conversational agents (CAs) in mental health therapy is gaining traction due to their accessibility, anonymity, and nonjudgmental nature. However, understanding the psychological factors driving preferences for CA-based therapy... read more 

Development and validation of a real-time risk prediction model for acute kidney injury in hospitalized pediatric patients.

World journal of pediatrics : WJP
BACKGROUND: Acute kidney injury is associated with a prolonged hospital stay and high mortality for pediatric patients. The previous prediction models are based on a pre-defined time window which may affect its feasibility in clinical practice. This ... read more 

Nuclear quantum effects of metal surface-mediated C-H activation.

Physical chemistry chemical physics : PCCP
The nuclear quantum effects of surface-mediated C-H activation of surface CH are considered for the pristine Pt(111) and Au(111) surfaces at 300 K. The kinetic barriers without nuclear quantum effects are calculated using both static density function... read more 

A fully annotated pathology slide dataset for early gastric cancer and precancerous lesions.

Scientific data
Gastric cancer, a significant global health concern, exhibits high morbidity and mortality, especially in advanced stages. Timely diagnosis and intervention are crucial for improving patient outcomes, with Endoscopic Submucosal Dissection (ESD) playi... read more 

Toward Disentangled and Controllable Deep Metric Learning With Human-Like Concept Decomposition.

IEEE transactions on neural networks and learning systems
Deep metric learning (DML) has shown significant advancements in learning discriminative embeddings for images, playing a crucial role in various vision tasks. However, existing methods typically rely on deep neural networks to extract holistic embed... read more 

Connectivity-based analysis of stimulation effects of globus pallidus interna deep brain stimulation in Parkinson's disease: A focus on freezing of gait.

Journal of movement disorders
OBJECTIVE: Freezing of gait (FOG) significantly affects the quality of life and increases the risk of falls in patients with Parkinson's disease (PD). Although deep brain stimulation (DBS) of the globus pallidus interna (GPi) is effective in managing... read more 

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection

arXiv
Despite outstanding results, machine learning-based Android malware detection models struggle with concept drift, where rapidly evolving malware characteristics degrade model effectiveness. This study examines the impact of concept drift on Android... read more 

Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach

arXiv
Many people learn programming independently from online resources and often report struggles in achieving their personal learning goals. Learners frequently describe their experiences as isolating and frustrating, challenged by abundant uncertainti... read more