😊🙏🏻 Happy to share our newly published article in 📢💊
"Protocol-constrained AI enhances tacrolimus dosing accuracy in kidney transplant care"
🔗 Read the full open-access article here:
doi.org/10.3389/frai.2026.18…
Tacrolimus dosing after a kidney transplant is highly complex, individualized, and prone to variability. To help address this, our team developed TacroDose AI—a protocol-constrained large language model (LLM) designed to generate dosing recommendations that strictly align with established institutional guidelines.
💡 Key Findings:
🔹 After refining our model with structured output verification (TacroAI 2.0), we achieved a remarkable 91.7% protocol adherence.
🔹 Crucially, we reduced sentinel errors to just 1.0% and significantly improved reproducibility.
🔹 This provides a powerful framework for integrating generative AI with rule-based clinical protocols to support safe, clinician-supervised medication management in transplant care.
A huge congratulations to my outstanding mentee and first author, Benjamin Bizer, and our fantastic fellows who drove this project! 👏✨ I am so incredibly grateful to collaborate with this brilliant team: Oscar A Garcia Valencia, Flora Kincses, Jose Arriola-Montenegro, Charat Thongprayoon, and Jing Miao, Wisit Cheungpasitporn.
@josearriolam @OscarGarciaMD @jingmiao2019 @MayoClinicNeph @FrontiersIn
Wisit Cheungpasitporn, MD, FACP, FASN, FAST
Clinician-Scientist & Professor of Medicine, Mayo Clinic
Leading AI Innovation in Kidney Care
#KidneyTransplant #Nephrology #ArtificialIntelligence #GenerativeAI #Tacrolimus #DigitalHealth #ClinicalDecisionSupport #MedicalEducation #HealthcareAI #FutureOfMedicine #MayoClinic