Preprint: GEN-KnowRD: Reframing AI for Rare Disease Recognition

WHY IT MATTERS

Faster rare disease diagnosis could reduce the average diagnostic odyssey from years to months, allowing patients to access treatment and clinical trials earlier when interventions are most effective.

Researchers developed a new artificial intelligence system called GEN-KnowRD to help doctors recognize rare diseases faster and more accurately. Currently, patients with rare diseases wait years for a correct diagnosis because doctors don't have good tools to identify these uncommon conditions. This new AI system is designed to work better than previous attempts by using a smarter approach that doesn't require as much expert knowledge to keep updated.

GEN-KnowRD: Reframing AI for Rare Disease Recognition Authors: Yan, C. et al. Server: medRxiv Category: health informatics Abstract: Rare diseases affect over 300 million people worldwide, yet patients often endure years-long diagnostic delays that limit timely intervention and trial opportunities. Computational rare disease recognition (RDR) remains constrained by knowledge resources that are often incomplete, heterogeneous, and dependent on extensive multi-disciplinary expert curation that cannot scale. Large language models (LLMs) applied directly for end-to-end diagnosis or disease discrimination face similar knowledge bottlenecks while also raising concerns around cost, reproducibility, and data governance. Here, we in