Artificial Intelligence Medical Compendium

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

Showing 73,321 to 73,330 of 235,503 articles

A fuzzy-based model proposal for risk assessment prioritization using failure mode and effect analysis and Z numbers: a real case study in an automotive factory.

International journal of occupational safety and ergonomics : JOSE
An integrated Failure Mode and Effect Analysis (FMEA) methodology combines the Delphi technique, Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Vlsekrerijumska Optimizacija I Kompromisno Resenje (VIKOR) methods, enhanced with Z number... read more 

Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation.

Journal of sleep research
Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-t... read more 

A Participatory Artificial Intelligence Driven Shift-Scheduling Application for Improving Sleep Among Shift-Working Caregivers: A 4-Month Non-Randomised Controlled Study With Cross-Over Design.

Journal of sleep research
Here, we examine the effectiveness of a participatory artificial intelligence (AI)-driven shift-scheduling mobile application (which reflects the local improvement needs in shift scheduling) in improving the sleep quality of shift-working geriatric c... read more 

Cluster Analysis of a Database of Surgically Managed Adult Spine Deformity (ASD) Patients: Determining the Minimal Clinically Important Difference for Each Cluster, Comparing Two Clustering Approaches.

Spine
STUDY DESIGN: Retrospective analysis of prospectively collected data. OBJECTIVE: To investigate whether two clustering approaches applied to the same database would lead to differences in the minimal clinically important difference (MCID) for health-... read more 

Can a Rule-Based Expert System Diagnose Nasal Obstruction from Nasoendoscopy Videos?

Facial plastic surgery : FPS
Nasal obstruction has multiple causes requiring specialist endoscopy for diagnosis. A rule-based expert system (RB-ES), which applies five "if-then" rules based on nasal features, may help replicate ENT decision-making in settings with limited access... read more 

AMPred-MFG: Investigating the Mutagenicity of Compounds Using Motif-Based Graph Combined with Molecular Fingerprints and Graph Attention Mechanism.

Interdisciplinary sciences, computational life sciences
Accurate mutagenicity prediction is crucial in drug discovery, but evaluating the mutagenicity of drug molecules is technically challenging, and experimental mutagenicity tests are both time-consuming and costly. In this study, we introduce a new dee... read more 

Machine Learning Risk Stratification for Older Breast Cancer Survivors: Clinical Care Implications.

Health services research
OBJECTIVE: To develop and validate a clinical risk prediction algorithm to identify breast cancer survivors at high risk for adverse outcomes. STUDY SETTING AND DESIGN: Our national retrospective analysis used cross-validated random forest machine le... read more 

Search for Specific Inhibitors Targeting Type IA Topoisomerases.

Journal of molecular biology
The type IA topoisomerase subfamily includes bacterial topoisomerase I and topoisomerase III encoded by topA and topB genes, reverse gyrase found in thermophilic bacteria and archaea, as well as eukaryotic topoisomerase III. Type IA topoisomerases al... read more 

Tissue perfusion pressure: A novel hemodynamic measure to assess risk of acute kidney injury after cardiac surgery.

The Journal of thoracic and cardiovascular surgery
BACKGROUND: Optimal hemodynamic targets for preventing acute kidney injury (AKI) have remained elusive. We hypothesized that lower tissue perfusion pressure (TPP), a novel perfusion index representing the difference between mean arterial pressure and... read more 

Predicting the First Onset of Suicidal Thoughts and Behaviors in Adolescents Using Multimodal Risk Factors: A 4-Year Longitudinal Study.

Journal of the American Academy of Child and Adolescent Psychiatry
OBJECTIVE: Suicide is one of the leading causes of death among youth worldwide, yet existing studies that aimed to predict the first onset of suicidal thoughts and behaviors (STB) included a limited number of data modalities and/or focused on adult p... read more