Artificial Intelligence Medical Compendium

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

Showing 58,641 to 58,650 of 227,634 articles

Performance of Machine Learning Models in Predicting Outcomes After ACDF: A Systematic Review and Meta-Analysis of 443 000 Patients.

Global spine journal
Study DesignSystematic review and meta-analysis.ObjectiveDirect head-to-head comparison of machine learning models aiming to predict outcomes in Anterior Cervical Discectomy and Fusion (ACDF) is necessary because existing studies typically evaluate a... read more 

Machine Learning for RNA Secondary Structure Prediction: a review of current methods and challenges.

RNA (New York, N.Y.)
Predicting the secondary structure of RNA is a core challenge in computational biology, essential for understanding molecular function and designing novel therapeutics. The field has evolved from foundational but accuracy-limited thermodynamic approa... read more 

Emergent universal long-range structure in random-organizing systems.

Nature communications
Self-organization through noisy interactions is ubiquitous across physics, mathematics, and machine learning, yet how long-range structure emerges from local noisy dynamics remains poorly understood. Here, we investigate three paradigmatic random-org... read more 

An annotated dataset of Gram stains from positive blood cultures.

Scientific data
Bloodstream infections (BSIs) of high morbidity and mortality are across all age groups, and urgent for accurate intervention. Gram stain interpretation of positive blood cultures (PBCs) is crucial for early diagnosing BSIs, yet this manual process i... read more 

Evaluation of the neurotrophic peptide mixture in pathogenetic therapy of patients with Parkinson's disease.

NPJ Parkinson's disease
This exploratory, single-group, open-label study investigated 17 patients with Parkinson's disease (PD) using a pre-post design. Motor and non-motor outcomes were assessed through clinical scales, biochemical and genetic analyses, and machine learnin... read more 

An Extended VIIRS-like Artificial Nighttime Light Data Reconstruction (1986-2024).

Scientific data
Artificial Night-Time Light (NTL) remote sensing is a vital proxy for quantifying the intensity and spatial distribution of human activities. Although the NPP-VIIRS sensor provides high-quality NTL observations, its temporal coverage, which begins in... read more 

Enhancing knowledge graph recommendations through deep reinforcement learning.

Scientific reports
Recommendation systems are an important tool for information filtering, which have been widely applied in both industry and academia. Although recommendation methods that combine deep learning with collaborative filtering have improved recommendation... read more 

Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms.

Scientific reports
The soil squeezing effect of pile groups may cause displacements and deformation at the pile tops and ground surface around piles. In severe cases, it can cause problems such as broken piles, cracking of adjacent buildings or cracking of pipes. Artif... read more 

A deep reinforcement learning approach to dance movement analysis.

Scientific reports
Although the field of deep learning has improved video-based dance classification, traditional models are computationally inefficient because they process redundant frames, and do not have the capability to center on discriminative key moments. In or... read more