Realising the potential impact of artificial intelligence for rare diseases – A framework

Rare diseases (RD) are conditions affecting fewer than 1 in 2000 persons, with over 7000 largely genetic RDs affecting 3.5 %-5.9 % of the global population, or approximately 262.9–446.2 million people. The substantial healthcare burden and costs, such as the $1 trillion annual expense in the USA, highlight the urgent need for improved RD management. The International Rare Diseases Research Consortium (IRDiRC) addresses this need through global collaboration, aiming for timely and accurate diagnosis, development of 1000 new therapies, and methodologies to measure impact by 2027.

Citation:
Groza T, Chan CH, Pearce DA, Baynam G. Realising the potential impact of artificial intelligence for rare diseases – A framework. Rare. 2025;3.

Keywords:
Rare diseases; Patient journey; Generative artificial intelligence; Diagnosis; Care coordination

Abstract:
Rare diseases (RD) are conditions affecting fewer than 1 in 2000 persons, with over 7000 largely genetic RDs affecting 3.5 %-5.9 % of the global population, or approximately 262.9–446.2 million people. The substantial healthcare burden and costs, such as the $1 trillion annual expense in the USA, highlight the urgent need for improved RD management. The International Rare Diseases Research Consortium (IRDiRC) addresses this need through global collaboration, aiming for timely and accurate diagnosis, development of 1000 new therapies, and methodologies to measure impact by 2027.