AiKidney™ combines the latest AI-driven algorithms and predictive tools to assist clinicians in providing more personalized patient care.*
This algorithm aggregates and analyzes multiple clinical inputs, including AlloSure®, to help with the timely assessment of the likelihood of rejection.1
This algorithm provides clinicians with an integrative risk prediction score to inform the assessment of kidney allograft failure up to 7 years post-transplant.2, 3
AiKidney is intended to support the health care provider’s assessment of the patient’s post-transplant status. When using AiKidney, the clinician should make clinical decisions based on clinical data obtained in the individual patient within the scope of usual practice. The clinician is advised to use clinical judgment in the care of the individual patient as no single tool or criterion supplants clinical judgement.
AiKidney Likelihood of Rejection tool is intended to inform clinicians who wish to better understand and visualize in the Electronic Medical Record (EMR) the likelihood that a solitary kidney transplant patient may have rejection. AiKidney displays input data and includes a description of the underlying data used to develop the algorithm and the logic for the output.
1. Aubert, O et al. Nephrology Dialysis Transplantation 37.Supplement_3 (2022): gfac123-002.
2. Loupy A et al. BMJ. 2019 Sep 17;366: l4923.
3. Aubert O, et al. BMJ Open 2021; 11:e052138. doi: 10.1136/bmjopen-2021-052138.