LLM framework MANANA improves epilepsy care in low-resource settings

Researchers have developed a new framework called MANANA to help large language models (LLMs) assist clinicians in underrepresented epilepsy care settings. This non-parametric prompt-learning framework adapts to local prescribing practices by learning from a small set of patient data. MANANA improves prescription accuracy and provides an uncertainty-based deferral signal, allowing the system to handle confident cases and defer less certain ones to specialists. AI

IMPACT This research demonstrates how LLMs can be adapted for specialized medical decision support in resource-constrained environments, potentially improving access to care.

RANK_REASON The cluster contains an academic paper detailing a new framework for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• epilepsy
• LLM
• MANANA

• paper
• model release

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