AI-driven diagnostic algorithm enhances early detection of paroxysmal nocturnal hemoglobinuria in real-world settings.

Paroxysmal nocturnal haemoglobinuria (paroxysmal nocturnal haemoglobinuria) is a rare, life-threatening hematologic disease with diagnostic delays exceeding 5 years in 24% of cases.

We developed and deployed an artificial intelligence algorithm analyzing structured and unstructured electronic health record data across 14 healthcare organizations in Poland.

High-risk patients were significantly older (median 69.5 years) with elevated rates of fatigue (76.4% vs 29.19%), anaemia (72.2% vs 7.61%), and myelodysplastic syndrome (49.2% vs 0.24%; all p < 0.001).

Only 2.25% presented with haemoglobinuria versus 45-62% in registry cohorts.