What Challenges Exist in Implementing AI in Neonatal Care?
Despite its potential, several challenges hinder the widespread adoption of AI in neonatal care: 1. Data Quality: AI algorithms require high-quality, comprehensive data to function effectively. Inconsistent or incomplete data can compromise the accuracy of AI predictions. 2. Integration with Existing Systems: Integrating AI tools with existing healthcare infrastructure and EHR systems can be complex and costly. 3. Ethical and Privacy Concerns: The use of AI in healthcare raises questions about data privacy, consent, and the ethical implications of algorithmic decision-making. 4. Lack of Standardization: The absence of standardized protocols for AI implementation can result in variability in performance and outcomes.
