Tezcan Ozrazgat‐Baslanti

University of Florida — United States

Medicine · Health Sciences

35h-index4.3kcitations150works2.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Sepsis Diagnosis and Treatment(37), Cardiac, Anesthesia and Surgical Outcomes(37), Intensive Care Unit Cognitive Disorders(30), Acute Kidney Injury Research(26), Machine Learning in Healthcare(22)

Publications150 total

Predicting Acute Kidney Injury with Nephrotoxic Burden in Noncritical Patients
Kidney360·2025Open Access
Artificial intelligence at the bedside for the prevention, detection, and management of acute kidney injury
Current Opinion in Nephrology & Hypertension·2025· 1 cited
Multi-hospital electronic decision support for drug-associated acute kidney injury (MEnD-AKI): Study protocol for a randomized clinical trial
Contemporary Clinical Trials·2025Open Access
Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling
Nature Communications·2025Open Access
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning.
PubMed·2025· 1 citedOpen Access
Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust
arXiv (Cornell University)·2025Open Access
Epidemiology, trajectories and outcomes of acute kidney injury among hospitalized patients: a large retrospective multicenter cohort study
Journal of Nephrology·2025· 3 cited
Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool
arXiv (Cornell University)·2025Open Access
Guiding Principles for Data Sharing and Harmonization: Results of a Systematic Review and Modified Delphi From the Society of Critical Care Medicine Data Science Campaign
Critical Care Medicine·2025· 5 cited
MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes
arXiv (Cornell University)·2024· 2 citedOpen Access
Methods for phenotyping adult patients with acute kidney injury: a systematic review
Journal of Nephrology·2024· 5 citedOpen Access
The Acute Kidney Intervention and Pharmacotherapy (AKIP) List: Standardized List of Medications That Are Renally Eliminated and Nephrotoxic in the Acutely Ill
Annals of Pharmacotherapy·2024· 7 citedOpen Access
Community-engaged artificial intelligence research: A scoping review
PLOS Digital Health·2024· 14 citedOpen Access
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life Sustaining Therapies Prediction Model
2024· 2 citedOpen Access
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
arXiv (Cornell University)·2024· 9 citedOpen Access
Electronic Health Record Data Quality and Performance Assessments: Scoping Review
JMIR Medical Informatics·2024· 4 citedOpen Access
Wearable sensors in patient acuity assessment in critical care
Frontiers in Neurology·2024· 8 citedOpen Access
Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery
Annals of Surgery Open·2024Open Access
Development and validation of a race-agnostic computable phenotype for kidney health in adult hospitalized patients
PLoS ONE·2024· 6 citedOpen Access
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications
arXiv (Cornell University)·2024Open Access
page 1 of 8Next →

Frequent Co-authors

Azra Bihorac(46), Philip A. Efron(27), Tyler J. Loftus(25), Parisa Rashidi(23), Matthew M. Ruppert(18), Frederick A. Moore(17), Benjamin Shickel(13), Gilbert R. Upchurch(13), Lyle L. Moldawer(12), Scott C. Brakenridge(12), Mark S. Segal(10), Yuanfang Ren(10), Patrick Tighe(9), Charles Hobson(8), Babette Brumback(8), Jeremy A. Balch(8), Paul Thottakkara(7), Alicia M. Mohr(7), William R. Hogan(6), Zhongkai Wang(6)