Domain Knowledge Inclusive Monotonic Neural Network Guides Patient-Specific Induction of General Anesthesia Dosing
We successfully predicted postinduction hypotension using the MNN, achieving performance comparable to existing methods. This model, by encoding clinically relevant monotonic relationships, provides anesthesiologists with a tool to assist in patient-specific fentanyl and propofol dosages, improving both the interpretability and clinical relevance of anesthetic dosing strategies.
Authors
- Kathryn Sarullo (ORCID: https://orcid.org/0000-0001-8184-1677)
- Muntaha Samad (ORCID: https://orcid.org/0000-0001-8813-6161)
- Samir Kendale (ORCID: https://orcid.org/0000-0002-5365-0205)
- S. Joshua Swamidass (ORCID: https://orcid.org/0000-0003-2191-0778)
- Pierre Baldi (ORCID: https://orcid.org/0000-0001-8752-4664)
Institutions
- University of California, Irvine (US)
- Washington University in St. Louis (US)
Publication Details
- Journal
- A&A Practice
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1213/xaa.0000000000002034
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00