The bottleneck in AI-enabled real-world data analysis is not computation, model architecture, or training data volume. It is the semantic layer over which the AI is trying to reason – the place where precise clinical meaning lives.
The post Better Models Won’t Fix Pharma’s AI Problem — Better Terminology Will appeared first on MedCity News.
