Get started
Author

Jasmine Ion Titapiccolo

Observed names: J I Titapiccolo, J. I. Titapiccolo, J. Ion Titapiccolo, Jasmine Titapiccolo
Observed institutions: Fresenius (Germany), Renal Research Institute, Fresenius Medical Care (United States), Fresenius Medical Care North America (United States), Fresenius Medical Care (Germany), Politecnico di Milano
ORCID: 0000-0001-5514-8182
Observed ORCID: 0000-0001-5514-8182
OpenAlex ID: A5049200921
An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients
2016 · Carlo Barbieri, Manuel Molina, et al. · Kidney International · 143
Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients
2013 · Jasmine Ion Titapiccolo, Manuela Ferrario, et al. · Expert Systems with Applications · 33
Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD)
2021 · Francesco Bellocchio, Caterina Lonati, et al. · International Journal of Environmental Research and Public Health · 31
PDF
Chronic kidney disease-associated pruritus (CKD-aP) is associated with worse quality of life and increased healthcare utilization among dialysis patients
2023 · Jasmine Ion Titapiccolo, Caterina Lonati, et al. · Quality of Life Research · 25
Prolonged patient survival after implementation of a continuous quality improvement programme empowered by digital transformation in a large dialysis network
2021 · Mario Garbelli, Jasmine Ion Titapiccolo, et al. · Nephrology Dialysis Transplantation · 25
Better health-related quality of life is associated with prolonged survival and reduced hospitalization risk among dialysis-dependent chronic kidney disease patients: a historical cohort study
2024 · Abraham Rincon Bello, Jasmine Ion Titapiccolo, et al. · BMC Nephrology · 24
PDF
The anaemia control model: Does it help nephrologists in therapeutic decision-making in the management of anaemia?
2018 · María Laura Bucalo, Carlo Barbieri, et al. · Nefrología (English Edition) · 17
PDF
El modelo de control de anemia: ¿ayuda al nefrólogo en la decisión terapéutica para el manejo de la anemia?
2018 · María Laura Bucalo, Carlo Barbieri, et al. · Nefrología · 15
PDF
Usage of the Anemia Control Model Is Associated with Reduced Hospitalization Risk in Hemodialysis
2024 · Mario Garbelli, Maria Eva Baro Salvador, et al. · Biomedicines · 12
PDF
Development and validation of AI-based triage support algorithms for prevention of intradialytic hypotension
2023 · Federica Gervasoni, Francesco Bellocchio, et al. · Journal of Nephrology · 11
A Supervised SOM Approach to Stratify Cardiovascular Risk in Dialysis Patients
2013 · J. Ion Titapiccolo, M. Ferrario, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 9
Blood pressure variability and cardiovascular autonomic control during hemodialysis in peripheral vascular disease patients
2012 · Jasmine Ion Titapiccolo, Sergio Cerutti, et al. · Physiological Measurement · 9
The Cardiovascular Literature-Based Risk Algorithm (CALIBRA): Predicting Cardiovascular Events in Patients With Non-Dialysis Dependent Chronic Kidney Disease
2022 · Luca Neri, Caterina Lonati, et al. · Frontiers in Nephrology · 7
Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis
2012 · J. Ion Titapiccolo, M. Ferrario, et al. · IEEE ... International Conference on Data Mining workshops · 4
AI-assisted detection of high-pitched bruits in arteriovenous fistulas using a digital stethoscope
2026 · Jasmine Ion Titapiccolo, Max Botler, et al. · The Journal of Vascular Access · 3
Relative Blood Volume Monitoring during hemodialysis in end stage renal disease patients
2010 · J I Titapiccolo, M Ferrario, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 3
Entropy: a way to quantify complexity in calcium dynamics
2010 · A. Fanelli, F. Esposti, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 3
MO926: Development and Implementation of an Electronic Patient-Reported Outcome System to Support Health-Related Quality of Life Management in a Large, European Dialysis Network
2022 · Luca Neri, Jasmine Ion Titapiccolo, et al. · Nephrology Dialysis Transplantation · 2
Predictive modeling of cardiovascular complications in incident hemodialysis patients
2012 · Jasmine Ion Titapiccolo, M. Ferrario, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 2
Novel Image Processing Methods for the Analysis of Calcium Dynamics in Glial Cells
2011 · A. Fanelli, J. I. Titapiccolo, et al. · IEEE Transactions on Biomedical Engineering · 2
Wcn25-2743 the Predictive Performance and Usage of Artificial Intelligence (ai)-based Fistula Failure Model in Singapore Hemodialysis (hd) Clinics
2025 · Francesco Bellocchio, Jasmine Titapiccolo, et al. · Kidney International Reports · 1
PDF
MO867: Confirmatory Factor Analysis and Computer Adaptive Testing System Prototype Based on Multidimensional Item Response Theory of KDQOL-36 Among a Large Sample of Spanish Dialysis Patients
2022 · Luca Neri, Jasmine Ion Titapiccolo, et al. · Nephrology Dialysis Transplantation · 1
Alteration of autonomic blood pressure control during hemodialysis in peripheral vascular disease patients
2011 · J. I. Titapiccolo, S. Cerutti, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 1
Construct Validation of an Item Response Theory-Derived Intradialytic Symptom Score Using KDQoL-36 and Recovery Time
2026 · Jasmine Ion Titapiccolo, Jennifer E. Flythe, et al. · Journal of the American Society of Nephrology
Psychometric Validation of the KDQoL-36 Using Item Response Theory and Computer Adaptive Testing among Patients Receiving Dialysis
2026 · Jasmine Ion Titapiccolo, Jenny E Flythe, et al. · Research Square
PDF
Works count: 44
Citation count: 383
H-index: 10
I10-index: 10
Year
Topic
Type