Achieving a New Artificial Intelligence System for Serum Protein Electrophoresis to Recognize M-Spikes
AIRSPE, established through AI deep learning and validated by IFE results, significantly outperforms manual interpretation in detecting low-concentration M-spikes, demonstrating its potential to assist with clinical screening for M-spikes.
Authors
- Beili Wang (ORCID: https://orcid.org/0000-0001-5167-170X)
- Wei Guo (ORCID: https://orcid.org/0000-0002-9924-638X)
- Jing Zhu (ORCID: https://orcid.org/0000-0002-0950-2512)
- Yuyi Hu
- Wenqi Shao (ORCID: https://orcid.org/0000-0003-3781-4086)
- Wen Xu (ORCID: https://orcid.org/0000-0002-5311-1965)
- Qun Wu
- Baishen Pan
Institutions
- Sun Yat-sen University (CN)
- Fudan University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- ACS Omega
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1021/acsomega.4c09327
- Primary Topic
- Advanced Biosensing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Zhongshan Hospital