Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa

Keyphrases

• Africa 100%
• Machine Learning 100%
• Antimicrobial Resistance 100%
• Antimicrobial Stewardship 100%
• Artificial Intelligence/machine Learning (AI/ML) 100%
• Technological Solutions 33%
• Health Systems 33%
• Treatment Regimen 33%
• Artificial Intelligence 33%
• Health Organizations 33%
• Capacity Building 33%
• Resilient 33%
• Antibiotic Use 33%
• Treatment Optimization 33%
• Resistance Pattern 33%
• Full Potential 33%
• Health Technology 33%
• Comprehensive Approach 33%
• Effective Policy 33%
• Community Engagement 33%
• Regulatory Framework 33%
• Healthcare Professionals 33%
• Data Security 33%
• Policy Development 33%
• Artificial Intelligence Applications 33%
• Artificial Intelligence Systems 33%
• Human Capacity 33%
• Artificial Intelligence Technology 33%
• Human Expertise 33%
• Health Community 33%
• Financial Investment 33%
• Resource-constrained Settings 33%
• Public Trust 33%
• Fragmented Data 33%
• Global Health Crisis 33%
• Resource-limited Settings 33%
• National Health System 33%
• Transparent Communication 33%
• Ethical Artificial Intelligence 33%
• Policy Enforcement 33%
• Antimicrobial Stewardship Program 33%
• Regulatory Enforcement 33%
• Clinical Workflow 33%
• Explainable Models 33%
• Africa Health 33%
• Artificial Intelligence-driven 33%
• Low Computational 33%
• Technology Developers 33%
• Algorithmic Fairness 33%
• Machine Learning Potential 33%
• Public Distrust 33%
• Antibiotic Sale 33%

Computer Science

• Artificial Intelligence 100%
• Machine Learning 100%
• Learning System 100%
• Data Security 12%
• Data Source 12%
• Algorithm Fairness 12%
• Technological Solution 12%
• Treatment Regimen 12%
• Policy Enforcement 12%
• Unique Constraint 12%