Challenges And Considerations

Integration Complexity: Developing a seamless backend that aggregates diverse AI outputs and expert opinions requires robust technical solutions and continuous updates.
Methodological Rigor: Maintaining a clear distinction between scientifically validated data and intuitive insights is essential for credibility.
Adaptability: Regular recalibration and updates to the consensus framework will be necessary as AI tools evolve and new data emerges.