AKI Artificial Intelligence
Welcome to the AKINow AI Workgroup Page.
Our goal is to help clinicians, patients and researchers use AI to improve the quality, accessibility, affordability and equity of care. Email us at AI Workgroup via epc@asn-online.org.
Savings Lives and Saving Money: Artificial Intelligence for Improvement in AKI Quality of Care and Cost Effectiveness
- RecordedJune 7, 2022
This webinar, offered by the ASN AKINOW, discusses potential areas in AKI clinical management where artificial intelligence can reduce costs while saving lives. Anyone interested in learning about or implementing AI into their clinical practice will find great value in this webinar.
AKINow: Artificial Intelligence (AI) Workgroup Introduction
Dr. Jay Koyner introduces AKINow, the Recognition and Intervention Workgroup, and explains their focus on Artificial Intelligence.
- Recorded October 2021
Artificial Machine Learning and Data Science: Demystifying the Hype
Is AI new to you? Listen to Dr. Nadkarni provides an overview of artificial machine learning and data science for the novice learner. If you have any questions or need additional information, please email us at epc@asn-online.org
- Recorded September 14, 2021
View Artificial Machine Learning Presentation »
5 Myths about AI in AKI
AI is new to many clinicians and often there are a lot of misunderstandings, favorable or unfavorable, about AI and the research within it. Listen to Dr. Singh's quick snapshot of the 5 myths of AI in AKI.
- Recorded November 2021
AKI Detection: AKI Sniffers
Alerts in the electronic health record are important to identifying a case of AKI earlier. Dr. Kashani reviews these "sniffers" for clinicians to better understand the intent of the alerts and therefore provide the best care to patients.
- Recorded November 2021
View AKI Sniffers Presentation »
Preventing Medication-Induced AKI: the NINJA Quality Improvement Program
Learn more about NINJA (Nephrotoxic Injury Negated by Just-in time Action). This program, developed by Dr. Goldstein and colleagues, scans medication profiles in electronic health records in near-real time to identify children at risk for AKI. Pharmacists, who are coordinating with the clinical teams, receive notifications from the scan helping to reduce nephrotoxic injury. This educational video is just one example of AI machine learning to improve patient care.
- Recorded November 2021
Uncovering the Ways in which AI Captures and Propagates Bias
Karandeep Singh, MD, MMSc
During this session, Dr. Singh explains what defines bias and how biases can be learned. He shares important work that is underway to ensure fairness in AI algorithms in order for clinicians to better manage and prevent AKI.
- Recorded April 2022
AKI Artificial Intelligence Core Efforts
AKI Artificial Intelligence Recognition Workgroup Members
- Jay L. Koyner, MD, Chair
- Stuart Goldstein, MD, FASN
- Kianoush Kashani, MD, MS, FASN
- Mei Liu, PhD
- Shina Menon, MD
- Girish N. Nadkarni, MD, MPH
- Javier A. Neyra, MD, MS, FASN
- Neesh I Pannu, MD, MS
- Karandeep Singh, MD, MS
- Danielle Soranno, MD