Consensus Between Radiologists, Specialists in Internal Medicine, and AI Software on Chest X-Rays in a Hospital-at-Home Service: Prospective Observational Study
Chest x-rays play a crucial role in the HAH setting. Rapid and reliable interpretation of these x-rays is essential for determining whether a patient requires transfer back to in-hospital surveillance. Our comparative results showed that interpretation by an experienced specialist in internal medicine demonstrates a significant level of consensus with that of the radiologists. However, AI algorithm-based interpretation needs to be further developed and revalidated prior to clinical applications.
Authors
- E Grossbard (ORCID: https://orcid.org/0009-0005-1353-9106)
- Reut Kassif Lerner (ORCID: https://orcid.org/0000-0003-1018-1071)
- Gad Segal (ORCID: https://orcid.org/0000-0002-3851-3245)
- Galia Barkai (ORCID: https://orcid.org/0000-0002-0775-9015)
- Eli Abutbul (ORCID: https://orcid.org/0009-0006-7372-3375)
- Yehonatan Marziano (ORCID: https://orcid.org/0009-0001-0526-9645)
- Aya Berman (ORCID: https://orcid.org/0000-0001-7107-0549)
- Hila Hakim
- Adam Sharabi (ORCID: https://orcid.org/0009-0000-5029-8544)
Institutions
- University of Nicosia (CY)
- Sheba Medical Center (IL)
- Geha Mental Health Center (IL)
- Edmond and Lily Safra Children's Hospital (IL)
- Alzheimer's Association of Israel (IL)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2024-11-07
- DOI
- https://doi.org/10.2196/55916
- Citations
- 1
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 0.40