Benjamin Shickel

Benjamin Shickel is an Assistant Professor in the College of Medicine at the University of Florida, affiliated with the Division of Nephrology, Hypertension & Renal Transplantation. His research focuses on applying artificial intelligence (AI) and deep learning to enhance clinical decision support through electronic health records (EHRs), with a particular emphasis on multimodal data integration, explainability, and hybrid AI systems that combine expert knowledge with data-driven approaches.

Research Interests

• Unified patient data modeling for personalized healthcare
• Explainable and fair AI in clinical settings
• Temporal and multimodal EHR analysis for critical care
• Collaborative AI systems for surgical and ICU applications

Recent Article Trends

Shickel's recent publications (2024–2025) highlight his work on:

• Transformative AI frameworks for ICU acuity prediction
• Federated learning in postoperative complication modeling
• Large language models in surgical workflow optimization
• Explainable AI for transplant and renal disease outcomes
• Conformal prediction methods in neurological care
• Hybrid systems balancing expert input and machine learning