Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities

Statistics related to the epidemiology of RDs and the importance of early diagnosis.
Elsevier, PET Clinics, Volume 17, January 2022
Authors: 
Hasani N., Farhadi F., Morris M.A., Nikpanah M., Rhamim A., Xu Y. et al.

Individually Rare, Together Common: Almost 1 in 10 individuals can suffer from one of many rare diseases (RDs).

The RD community must be recognized and have a seat at the table of AI stakeholders.

Physicians are expected to be able to diagnose and treat those with common and rare diseases. A similar expectation must be present for AI solutions.

There is a significant need to recognize the challenge of data imbalance in RDs and to make concerted efforts to provide technical recommendations and guidelines.

A nationwide RD data repository is an indispensable prerequisite for a fair AI ecosystem.

The RD community should be protected from any misuses or abuses of AI systems that lead to discrimination.