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