Review Assesses Machine Learning Roles and Hurdles in Smart Hydrogel 4D Printing
A systematic review examines artificial intelligence strategies, validation gaps, and translational barriers in smart hydrogel four-dimensional printing.
Tag: Machine Learning
Researchers Propose Digital Reality Framework to Train Neural Networks on Synthetic Data
Computer scientists propose a Digital Reality framework that uses parametric real-world models and sensor simulation to generate balanced synthetic training ...
Review Highlights Structural Mismatches in Explainable AI for Financial Time Series
A systematic literature review reveals that generic explainable artificial intelligence techniques can produce unstable and misleading explanations when applied to ...
Neutrophil Percentage-to-Albumin Ratio Predicts Mortality in ICU Acute Pancreatitis
A retrospective cohort study finds that an elevated neutrophil percentage-to-albumin ratio independently predicts 28-day all-cause mortality in ICU patients with ...
Machine Learning Identifies Key Risk Triad for Severe Childhood Rhinovirus Pneumonia
A retrospective machine learning study identified systemic inflammation, coagulation changes, and allergy history as key predictors of severe human rhinovirus ...
Machine Learning Explores Cytokine Profiles to Stratify Acute Pancreatitis Severity
A retrospective study of 220 acute pancreatitis patients found that exploratory machine learning models utilizing cytokine profiles achieved moderate discrimination ...
3D-printed acoustic panels reviewed from experiments to machine learning
A review of 3D-printed acoustic panels identifies porosity, cell topology, perforation geometry, airflow resistance, and printing parameters as key factors ...
Study Maps the Rapid Rise of AI in Wearable Smart Textiles
A comprehensive bibliometric analysis of literature from 2000 to 2025 charts the accelerated global emergence, core collaborative networks, and technical ...
Quantum-Inspired AI Model Claims 99.9% Accuracy in Sentiment-Driven Product Recommendations
A new study reports a quantum-inspired recommendation system combining fuzzy clustering, generative adversarial networks, and a dandelion-based optimizer that achieved ...
Clinical Prediction Stability Depends on Algorithms and Tuning Beyond Sample Size
An empirical study reveals that clinical prediction model stability depends not only on sample size but also on algorithm selection ...
Consensus Computational Models Accurately Predict Chemical Binding to Human Sex Hormone Protein
Researchers developed a consensus machine learning and deep learning framework to accurately predict how diverse chemicals bind to human sex ...
Artificial Intelligence Applications Advance Genomic Analysis Across Diverse Biological Studies
A collection of research studies illustrates how artificial intelligence enhances genomic analysis across variant detection, genome assembly, and disease modeling ...
Researchers Propose Decision Tree Framework to Help Developers Select AI Interpretability Techniques
Researchers have developed a hierarchical taxonomy and decision tree framework to help artificial intelligence developers systematically select appropriate interpretability techniques ...
Human-in-the-Loop AI Cuts Surgical Video Annotation Effort by Half
A human-in-the-loop framework combining active learning with weak supervision halves the annotation effort needed for surgical tool segmentation in laparoscopic ...
Machine Learning Predicts Neuromodulation Outcomes in Drug-Resistant Epilepsy Meta-Analysis
A systematic review and meta-analysis of twelve studies revealed that supervised machine learning models achieved a pooled AUROC of 0.84 ...
Deep Learning Models Deliver Accurate Irrigation Prescriptions Across Extended Forecast Horizons
Agricultural engineers demonstrated that recurrent neural networks paired with temporal data aggregation accurately forecast multi-hour irrigation prescriptions while filtering high-frequency ...
Decade of Data Science Research Reveals Massive Growth and Global Disparities
A bibliometric analysis of over twenty-seven thousand scholarly records reveals how data science expanded across the globe between 2015 and ...
Computational Analysis Uncovers Shared Genetic Landscape Linking Atherosclerosis and Lung Adenocarcinoma
A multi-cohort transcriptomic study identified shared genetic biomarkers and immune mechanisms connecting atherosclerosis and lung adenocarcinoma, providing new models for ...
Machine learning model predicts local failure timing after radiosurgery for radioresistant brain metastases
A pre-treatment Random Survival Forest model achieved strong internal performance in predicting local failure and its timing after Gamma Knife ...
Machine Learning Accurately Predicts Fly Ash Pervious Concrete Drainage Performance
Researchers developed an explainable machine learning model that accurately predicts the hydraulic permeability of sustainable fly ash pervious concrete while ...
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