AI Methods Designed for Influenza, RSV, HIV, and COVID-19

AI techniques are transforming the management of respiratory and viral infections.

• Symptom-based triage models using methods like eXtreme Gradient Boosting and Random Forests have enhanced diagnostic accuracy for respiratory infections.
• Imaging classifiers based on convolutional neural networks have improved detection of respiratory diseases.
• Real-time monitoring of COVID-19 has been facilitated by transformer-based architectures and social media surveillance.
• AI methods such as support-vector machines and deep neural networks aid in viral-protein classification and mapping drug resistance in HIV research.
• Challenges include data heterogeneity, limited model interpretability, hallucinations in large language models, and infrastructure gaps in low-resource environments.
• Standardized open-access data pipelines and explainable AI methodologies are recommended for the equitable deployment of AI interventions during viral outbreaks.

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