Jay Koyner retweeted
I know I’m old because podcasting makes me really happy
A good hang with @keepingitrenal and @jaykoyner talking about AKI Follow-up and Recovery
It was a lot of work. Implementing a real-time machine-learning risk score in the EHR, identifying and enrolling high-risk patients before they had SCr-based AKI, randomizing them to a structured in-person nephrology consult. Excited to see it in press. ja.ma/44Wj6hm
While not a positive study, it was a positive experience and we learned a lot. Thanks to all those @uofcneph and @UW_ICU_DataSci who helped make it happen. There will be more to come; the story of using ML-risk scores to trigger AKI care is not over....
Jay Koyner retweeted
Inpatients at risk for #AcuteKidneyInjury identified by a machine-learning score did not benefit from early nephrology consultation, as changes in serum creatinine and outcomes were similar to usual care.
ja.ma/44Wj6hm
ALT RCT: Early Nephrology Consultation for AKI in hospitalized patients. Pop: 102M, 78F, median age 62.5. From 1 Chicago hospital. 180 randomized (89 ENC, 91 usual care). No significant difference in peak SCr change between groups (P=.30). ENC group shows slight SCr increase, usual care slight decrease.
Today, we set up a whole new WiFi system in the house. It went as smooth as possible. But there was a 25-min period of total blackout, no WiFi, no nothing - so today I was just like those astronauts who were out of communication on the far side of the moon. Mission accomplished!
Jay Koyner retweeted
Thrilled to announce that MIMIC-IV-Ext-CLIF is now available on physionet!
Download today and accelerate your ICU data science- the Common Longitudinal ICU data Format (CLIF) consortium (1 M critical illness hospitalizations) will run any well coded project written using this resource!
Jay Koyner retweeted
➡️ A Comprehensive Framework for Kidney Function Assessment: Summary of the NIDDK Re-imagining Kidney Function Assessment Workshop kireports.org/article/S2468-…
Excited to see this work, collaboration with @UW_ICU_DataSci @uofcneph, on our deep learning recurrent neural network to predict severe AKI 2 days earlier than creatinine, published in @asnpublications. It is already implemented and validation studies are actively enrolling.
Multimodal AKI risk score accurately identifies patients who will develop Stage 2 AKI over two days earlier than serum creatinine alone. bit.ly/CJASN0695
#ASNCJASN
Jay Koyner retweeted
Multimodal AKI risk score accurately identifies patients who will develop Stage 2 AKI over two days earlier than serum creatinine alone. bit.ly/CJASN0695
#ASNCJASN
Jay Koyner retweeted
Her passing is a huge loss for the community and all we serve in medical education. pritzker.uchicago.edu/news/h…
Jay Koyner retweeted
The inaugural "AI Nephrology Symposium" ("Augmented Intelligence and Digital Health in Kidney Care: A Multidisciplinary Symposium") - April 8-9, 2025, jointly with ATTIS in person at UAB - Genomic & Data Sciences Building - Auditorium
@javo_neyra @girish_nadkarni @ucsdnephrology
Jay Koyner retweeted
CLIF makes its print debut in @yourICM with @_jcrojas, @WF_Parker, @Nick_Ingraham, @ChadHoc, @KaveriChhikara, @CatGaoHow, @bhavani_md, @Vaishvik_, @garyweissman, @kevingbuell, @XSusanHan, @jaykoyner, @yuanhypnosluo, and many other friends whose handles I don't know (link next):
Jay Koyner retweeted
Celebrating Heart Failure Awareness Week by looking back at a year of innovation in @UChicagoMed’s Advanced Heart Failure Program.
#HFWeek2025
Jay Koyner retweeted
📢 Register now for the Acute Kidney Injury: From Bench to Bedside Conference!
Explore AI in AKI Research. Secure your spot, submit abstracts by March 12, and book housing before it fills up. Travel support is available—don’t miss out.
Learn more: bit.ly/AKIB2B
Jay Koyner retweeted
We are delighted to welcome these four outstanding physicians to the @UChicagoMed nephrology team! @anna_zisman #Match #nephrology
Pro-tip: you have to empty out your freezer before Thanksgiving in order to make room for food prep and leftovers. #nephbbq
