معرفی
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
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