Artificial intelligence for chest imaging in hantavirus pulmonary syndrome: A review of practical considerations for rare-disease imaging.
AI implementation for rare disease imaging faces data challenges, highlighting needs for multicenter collaborations.
Review of AI implementation challenges for rare disease imaging using hantavirus pulmonary syndrome as a case study, addressing data scarcity, class imbalance, and generalizability limitations. This record was retained from the prior triage attempt for PubMed pipeline handoff.
What the study was
- Study design
- review
- Category
- rare_diseases
- Maturity
- Validated
- Journal
- Clin Imaging
Why it surfaced
Addresses practical AI implementation challenges for rare disease imaging—a growing problem as AI diagnostics expand to uncommon conditions with limited training data.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.