QBrainNet: harnessing enhanced quantum intelligence for advanced brain stroke prediction from medical imaging
The inference time is shorter, so the model can be used as a real-time clinical application. This article points to the possibilities quantum computing can have in revolutionizing medical diagnostics, especially stroke prediction.
Authors
- Ali Algarni (ORCID: https://orcid.org/0009-0002-6718-517X)
- Eid Mohammad Albalawi (ORCID: https://orcid.org/0000-0003-4872-4932)
- Oumaima Saidani (ORCID: https://orcid.org/0000-0001-9520-3174)
- V. Murugesh
- T R Mahesh (ORCID: https://orcid.org/0000-0002-5589-8992)
- M. Priyadharshini
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Jain University (IN)
- ICFAI Foundation for Higher Education (IN)
- Astana Medical University (KZ)
- King Faisal University (SA)
- King Khalid University (SA)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-23
- DOI
- https://doi.org/10.3389/fmed.2025.1677234
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Princess Nourah Bint Abdulrahman University
- King Khalid University
- King Faisal University