Sirajam Munira

LLMs can match or outperform traditional CKD screening methods with minimal examples, but their stability diminishes with increased input complexity.

LLMs can achieve clinically relevant CKD screening accuracy using just a handful of community-accessible features, eliminating the need for extensive training datasets.

Turns out, how you feed speech data to AI for Parkinson's detection—handcrafted features versus raw audio—drastically changes its accuracy, especially in different languages.