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Clinical journal of the American Society of Nephrology
Jun 01, 2023

Artificial Intelligence and Machine Learning in Dialysis: Ready for Prime Time?

Peter Kotanko, Hanjie Zhang, Yuedong Wang

No abstract available.

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About the Author

Hanjie Zhang, MSc, PhD

Supervisor of Biostatistics and Applied Artificial Intelligence /Machine Learning

Hanjie joined RRI in 2014. She received a master’s degree in statistics from Columbia University, New York, and a PhD in medical science from the University of Maastricht, The Netherlands. Hanjie has been involved in the design of several large cluster-randomized clinical trials and complex statistical analyses in collaboration with the Medical Office, FMCNA...

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Dr. Peter Kotanko, MD

RRI Research Director

SVP, Corporate Research & Development

Peter Kotanko, MD is Research Director at the Renal Research Institute (RRI), New York. Prior to joining RRI, from 1997 to 2007 he served as Vice Chair of a department of internal medicine at an academic teaching hospital in Graz, Austria. Prior to moving to Graz in 1989, he worked 1982-89 at the Department of Physiology and the University Clinic of Internal Medicine, Innsbruck, Austria...

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Other Research

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  • Hemodialysis International
    Jul 21, 2023

    Interactions between intradialytic central venous oxygen sa...

    Priscila Preciado, Laura Rosales, Hanjie Zhang, Je...
    Abstract Introduction: In maintenance hemodialysis (HD) patients, low central venous oxygen saturation (ScvO2 ) and small decline in relative blood volume (RBV) have been associated with adverse outcomes. Here we explore the joint association between ScvO2 and RBV change in relation to all-cause mortality. Methods: We conducted a retrospective study in maintenance HD patients with central venous catheters as...
  • Nephrology Dialysis Transplantation
    Jul 03, 2023

    Real-time prediction of intradialytic hypotension using mach...

    Hanjie Zhang, Lin-Chun Wang, Sheetal Chaudhuri, Aa...
    Abstract Background: In maintenance hemodialysis patients, intradialytic hypotension (IDH) is a frequent complication that has been associated with poor clinical outcomes. Prediction of IDH may facilitate timely interventions and eventually reduce IDH rates. Methods: We developed a machine learning model to predict IDH in in-center hemodialysis patients 15-75 min in advance. IDH was defined as systolic blood...
  • American journal of kidney diseases the official journal of the National Kidney Foundation
    Jun 26, 2023

    The Impact of a Wearable Activity Tracker and Structured Fee...

    Rakesh Malhotra, Sina Rahimi, Ushma Agarwal, Ronit...
    Abstract Rationale & objective: People with end-stage kidney disease (ESKD) have very low physical activity, and the degree of inactivity is strongly associated with morbidity and mortality. We assessed the feasibility and effectiveness of a 12-week intervention coupling a wearable activity tracker (FitBit) and structured feedback coaching versus wearable activity tracker alone on changes in physical...
  • Clinical journal of the American Society of Nephrology
    Jun 01, 2023

    Ultrafiltration Rate Levels in Hemodialysis Patients Associa...

    Ariella Mermelstein, Jochen G Raimann, Yuedong Wan...
    Abstract Background: We hypothesized that the association of ultrafiltration rate with mortality in hemodialysis patients was differentially affected by weight and sex and sought to derive a sex- and weight-indexed ultrafiltration rate measure that captures the differential effects of these parameters on the association of ultrafiltration rate with mortality. Methods: Data were analyzed from the US Fresenius...
  • Kidney Medicine Journal
    May 14, 2023

    Individualization of Serum-to-Dialysate Potassium Concentrat...

    Jonathan S Chávez-Iñiguez, Jochen G Raimann
    No abstract available
  • Clinical journal of the American Society of Nephrology
    May 11, 2023

    Inclement Weather and Risk of Missing Scheduled Hemodialysis...

    Richard V Remigio, Jochen G Raimann, Peter Kotanko...
    Abstract Background: Nonadherence to hemodialysis appointments could potentially result in health complications that can influence morbidity and mortality. We examined the association between different types of inclement weather and hemodialysis appointment adherence. Methods: We analyzed health records of 60,135 patients with kidney failure who received in-center hemodialysis treatment at Fresenius Kidney Care clinics across the Northeastern US...