Research Article
Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications
Table 3
Current applications of FL in healthcare.
| Healthcare domain | Application of federated learning | Benefits | Challenges |
| Medical imaging | Collaborative analysis of radiological images across multiple institutions | Improved accuracy in diagnosis | Data heterogeneity, privacy concerns | Clinical research | Collaborative analysis of patient data for clinical trials | Enhanced generalizability of results | Data standardization, trust among institutions | Disease prediction | Aggregated analysis of patient health data for disease prediction | Improved early detection of diseases | Data privacy, bias in distributed data | Precision medicine | Analysis of genomic and patient data for personalized treatment | Tailored treatment options | Data interoperability, ethical considerations | Drug discovery | Collaborative analysis of molecular data for drug discovery | Accelerated identification of potential drug candidates | Data security, intellectual property concerns |
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