AI in Healthcare: The Computational Bottleneck
2025-04-05
A researcher highlights the inaccuracy of current clinical tools used for cancer risk prediction. AI has the potential to leverage massive patient data for personalized care, enabling earlier cancer detection, improved diagnostics, and optimized treatment protocols. However, the sheer volume of healthcare data overwhelms traditional computer chips, making computational power a bottleneck for realizing AI's full potential in healthcare. While researchers optimize algorithms, silicon-based chip technology is nearing its performance limits, necessitating a new approach to chip technology for AI to reach its full potential.