Latest Research in Artificial Intelligence in Healthcare

Top Research Topics in Artificial Intelligence in Healthcare

• Artificial Intelligence in Healthcare — 14 papers
• Machine Learning in Healthcare — 7 papers
• Cardiac electrophysiology and arrhythmias — 5 papers
• Sepsis Diagnosis and Treatment — 5 papers
• Heart Failure Treatment and Management — 4 papers
• Enhanced Recovery After Surgery — 3 papers
• Machine Learning — 3 papers
• Cardiac Health and Mental Health — 3 papers
• Non-Invasive Vital Sign Monitoring — 3 papers
• Chronic Obstructive Pulmonary Disease (COPD) Research — 3 papers

Highest-Cited Papers

1. Accuracy and Equity of the End-of-Life Care Index in Predicting 1-Year Mortality (1 citations)
2. Peri‐operative glucagon‐like peptide‐1 receptor agonist use and outcomes: a national prospective multicentre cohort study (1 citations)
3. Diagnosis of Coronary Heart Disease by Combination of Random Forest and Grey Wolf Optimization Algorithms
4. Risk of apnoea-related cardiorespiratory instability in preterm infants is modulated by clinical, demographic and dynamic indicators
5. Clinical Prediction Models in Cardiovascular Disease: Foundations, Clinical Applications and Future Directions
6. The impact of enhanced recovery after surgery on postoperative recovery in patients with distal gastric cancer combined with diabetes
7. Nonlinear Association of Length of Stay with In-Hospital Mortality in Alzheimer’s Disease Hospitalizations: Admission-Only vs. Inpatient-Course Prediction Using Explainable Machine Learning
8. Leakage-Safe benchmarking of tempered fractional optimization and swarm-driven feature construction for heart disease prediction on structured clinical data
9. QT interval prolongation in the coronary intensive care unit: prevalence, associated drugs and clinical-genetic risk factors
10. A Validation Method for the Enhanced Fuzzy Min‐Max Neural Network With Application to Heart Disease Data Classification
11. Acceptability of advanced monitoring for acute respiratory failure requiring non-invasive respiratory support: A qualitative study of perceptions from patients and critical care practitioners
12. Major advances in carotid body research: Then and Now
13. Development and Temporal External Validation of a Parsimonious, Interpretable Machine Learning Model for Predicting 6-Month Mortality in Long-Term Care Facilities: A Retrospective Cohort Study
14. Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization
15. Sex-Stratified Annual Patterns in Willingness to Serve as a Session Chair at Japanese Circulation Society Meetings
16. Antiemetic-Associated QT Prolongation: A Clinical Review and Risk-Stratified Prescribing Framework for Long QT Syndrome
17. BRIDGING FRONTLINE SCREENING GAPS: EVALUATING NONINVASIVE MACHINE LEARNING MODELS FOR EARLY CARDIOVASCULAR STRATIFICATION IN LOW-RESOURCE PRIMARY CARE
18. Interpretable Heart Disease Prediction: Optimizing Machine Learning Models via Metaheuristic Ivy Algorithm
19. BRIDGING FRONTLINE SCREENING GAPS: EVALUATING NONINVASIVE MACHINE LEARNING MODELS FOR EARLY CARDIOVASCULAR STRATIFICATION IN LOW-RESOURCE PRIMARY CARE
20. Association Between Prognostic Nutritional Index and Clinical Outcomes After Percutaneous Coronary Intervention in Elderly Patients with Chronic Total Occlusion