Latest Research in Artificial Intelligence in Healthcare and Education

Top Research Topics in Artificial Intelligence in Healthcare and Education

• Methodology — 20 papers
• Artificial Intelligence in Healthcare and Education — 15 papers
• Statistical Methods in Clinical Trials — 9 papers
• Machine Learning in Healthcare — 6 papers
• Advanced Causal Inference Techniques — 5 papers
• Health Literacy and Information Accessibility — 4 papers
• Sepsis Diagnosis and Treatment — 3 papers
• Machine Learning — 3 papers
• Artificial Intelligence in Healthcare — 3 papers
• Healthcare Operations and Scheduling Optimization — 2 papers

Highest-Cited Papers

1. The RobinCar Family: R tools for robust covariate adjustment in randomized clinical trials
2. Bayesian variable selection on small sample trial data via adaptive posterior-informed shrinkage prior
3. Governing AI in Pharmaceutical Operations: How to decide what AI may do and whether people can use it reliably
4. Governing AI in Pharmaceutical Operations: How to decide what AI may do and whether people can use it reliably
5. Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration
6. Reinforced-count simulation for decision calibration under over-dispersed multi-type service demand
7. Evaluating the impact of prevalence on the scaled Brier score, Matthews correlation coefficient, and other performance metrics for binary and multiclass hard classifications
8. A stochastic structural dynamics framework for analyzing systemic strain in the Nigerian health sector through Monte Carlo simulation
9. Respiratory virology dashboards for primary care and public health insight in England
10. Conformal Inverse Optimization for Adherence-Aware Prescriptive Analytics
11. Qualify-Then-Borrow: A Five-Step Framework for Bayesian Borrowing Beyond Outcome Agreement
12. RECaST-Surv: A Calibrated Borrowing Method for Survival Endpoints in Unequal Randomized Trials
13. Aggregating many estimators using estimated weights
14. A Frequentist Approach Using Weighted Estimating Equations for Survival Analysis of Randomized Controlled Trial With External Control Arm
15. Signatures versus Understanding? Bridging the Literacy Gap in Kidney Transplant Consent in Resource-constrained Settings
16. Online physician recommendation with dynamic capacity and semantic similarity: A primal-dual optimization framework
17. Graph-Enabled Efficient Federated Bayesian Modeling
18. From Test Performance to Risk-Based Effect Sizes: A Unified Wald-Type Framework to Design Clinical Validation Studies for Binary and Survival Outcomes
19. Fairness Audit and Bias Mitigation in an AI-Based Heart Disease Risk Prediction Model
20. Hospital Artificial Intelligence Tools and Inpatient Utilization and Costs in Older Adults with Alzheimer's Disease and Related Dementias