An absolute honor to meet Professor Jürgen Floege, Editor-in-Chief of the Clinical Kidney Journal (CKJ), in person here at #ERA2026 in Glasgow! 🏴✨
🙏🏻😃 @CKJsocial@ERAkidney
I am incredibly humbled and honored to be recognized as one of the Top Reviewers of the Year for CKJ, specifically for my work reviewing articles on Artificial Intelligence in nephrology. 🤗😃🙏🏻
Thank you to the editorial team for this recognition, and it is wonderful to connect with so many peers dedicated to advancing kidney health.
Wisit Cheungpasitporn, MD, FACP, FASN, FAST
Clinician-Scientist & Professor of Medicine, Mayo Clinic
Leading AI Innovation in Kidney Care
#ERA2026 #Nephrology @MayoClinicNeph #ClinicalKidneyJournal #CKJ #KidneyCare #MedicalResearch #MedicalEducation #PeerReview #Glasgow #ScienceCommunication #NephroAI
Honored to meet the legendary Dr. Chapman. From reading her papers and referencing her work, to learning from her, this has been a truly meaningful and memorable full-circle moment! Thank you @MayoClinicNeph for this opportunity
Nothing prepares you for a wrong page after 10 pm when you’re not even on call... My baby is awake, my soul is not- please advise.
PS - Now accepting advice on how to put my baby back to sleep.
🚨 Can echocardiography really exclude HFpEF? New data say: not reliably.
A large, invasive hemodynamics–validated study tested the updated 2025 ASE diastolic function grading algorithm in patients with confirmed HFpEF — and the results are eye-opening. 👀
🔍 Key finding:
Among ambulatory patients with invasively proven HFpEF, ~68% were classified as “normal” or Grade 1 diastolic dysfunction by the new ASE criteria. Yet >60% of these patients already had elevated filling pressures at rest, and many worsened dramatically with exercise.
🏃♂️ Stress echo underperformed:
In patients labeled Grade 1 (where exercise testing is recommended), the ASE 2025 stress criteria detected HFpEF in only ~10% — a false-negative rate >90%. Even under “best-case” assumptions, sensitivity remained poor.
🏥 Volume status matters:
Diastolic grades shifted substantially between decompensated and recompensated states. After diuresis, over 50% of hospitalized HFpEF patients reverted to normal or Grade 1, highlighting how load-dependent and unstable diastolic grading can be.
📉 Diagnostic performance:
Overall discrimination for HFpEF vs non-cardiac dyspnea was modest (AUC ~0.61) — inferior to probability-based tools like H₂FPEF, especially when combined with functional testing.
⚠️ Prognostic paradox:
Patients with HFpEF labeled “normal” or Grade 1 still had a ~5-fold higher risk of death or HF hospitalization compared with controls.
💡 Bottom line:
🛑 Normal diastolic function ≠ no HFpEF.
Echocardiography remains essential — but diastolic grades must be interpreted within pretest probability frameworks, not used in isolation to rule out disease.
I like teaching high-achieving students, but my favorite students are the overwhelmed, anxious, average to below-average learners who doubt themselves. Medicine doesn’t need doctors steeped in self-doubt. My favorite compliment you is: "You helped me believe I could do it."
👏 Honored to celebrate Dr. Vesna D. Garovic, MD, PhD, FASN, Chair of @MayoClinicNeph for delivering The Sharon Silbiger, MD, Endowed Lectureship at ASN Kidney Week 2025 in Houston.
“Hypertension and Pregnancy” @ASNKidney Kidney Week 2025 @GarovicVesna
😃😊💙 As a member of the American Society of Nephrology @ASNKidney AI Steering Committee and ASN Kidney News editorial team @asnpublications , I’m thrilled to see our editorial featured at the very top of ASN In the Loop 🔁 #AI
✨ This feature highlights how AI is transforming nephrology — from patient summaries and pathology analysis to dialysis performance, AKI/CKD diagnosis, and kidney transplantation.
📢 Looking forward to the upcoming ASN AI position paper and the Kidney Week 2025 plenary session focused on responsible AI use to improve kidney care and patient outcomes.
#AI #Nephrology #ASN #KidneyCare #Innovation
📖 In this American Society of Nephrology Kidney News September 2025 article, “Algorithms to Action: AI Expands Application in Nephrology”
Dr. Navdeep Tangri @NavTangri , Dr. Len Usvyat , I, and more AI experts share how artificial intelligence is transforming nephrology — from CKD and dialysis prediction models to transplant matching, digital pathology, and real-time EHR alerts — while calling for nephrologists to lead responsible adoption, and validate models in real-world care.
• ✔️Nephrology is AI-ready: nephrology is a numbers-driven field (especially dialysis), making it ideal for algorithmic approaches.
• 🧬 Data-rich opportunity: Nephrology’s wealth of MRIs, ultrasounds, biopsies, pathology, and lab data—perfect for training AI models.
• 🏥 Real-world deployment: 36+ Fresenius AI algorithms that run nightly to predict hospitalizations and guide pre-emptive clinical interventions.
• 🔬 Key AI use cases: Ambient scribes for patient summaries, AI-triaged portal messages, digital pathology slide analysis, dialysis performance prediction, CKD risk detection, and transplant decision support.
• 🌍 Future directions: AI will enhance nephrology education, integrate social determinants of health, and reduce disparities by making precision kidney care more equitable.
Link: https://t.co/VqAGt49acb
Special thanks to Dr. Kenar Jhaveri @kdjhaveri 🙏🏻🙂
https://t.co/VqAGt49acb
Tip to applicants: Ask the current residents or fellows about parking situation during your interviews, you will learn a lot about how trainees are viewed based on that
We are thrilled 🙂🙏🏻 to share our most recent published article:
“Advancing Personalized Medicine in Digital Health: The Role of Artificial Intelligence in Enhancing Clinical Interpretation of 24-Hour Ambulatory Blood Pressure Monitoring.”
https://t.co/uQvGjUKRzw
A huge congratulations 🎉 to our Nephrology fellow @Sreyoshi910 for taking the lead on this impactful project! Grateful for the valuable contributions from @OscarGarciaMD@jingmiao2019 and the co-mentorship provided by @k1dneyMD
Proud to see our @MayoClinicNeph team’s efforts advancing personalized medicine through innovative AI applications in nephrology and digital health! 🙂🙏🏻
@digitalhealth2
#AI #DigitalHealth #Nephrology #Hypertension
Train with world-class experts in treating patients with malignant and pre-malignant conditions who are facing nephrological issues in our Onco-Nephrology Advanced Nephrology Fellowship. 1 position remaining. Apply for July 1, 2025. #onconephrology https://t.co/m7kArPY4Ls