Zena Gabriel

Thomas Jefferson University

Papers

1

Total Citations

80

H-Index

1

About

Dr. Zena Gabriel is a pioneering researcher at the intersection of artificial intelligence and cosmetic dermatology, a field where she has established herself as a leading voice. Her most-cited work, a 2020 landmark review with 80 citations, systematically maps the current, upcoming, and future trends of AI in aesthetic medicine, addressing a critical knowledge gap in how machine learning can enhance patient care. Dr. Gabriel’s major contribution lies in demystifying how AI-driven tools—from diagnostic algorithms to personalized treatment planning—are transforming cosmetic procedures, making them safer and more effective. Her research not only catalogs emerging technologies but also provides a roadmap for clinicians navigating this rapidly evolving landscape. By bridging computer science with clinical practice, she has helped legitimize AI as a cornerstone of modern dermatology. Her work continues to influence how practitioners integrate smart systems into daily workflows, ensuring that innovation translates directly to improved patient outcomes. Dr. Gabriel remains a sought-after expert for her ability to translate complex technical developments into actionable clinical insights.

Research Focus

Key Achievements

1
H-Index
1
Papers
80
Total Citations
80
Avg Citations/Paper
🏆 Most Cited Paper
The role of artificial intelligence in cosmetic dermatology—Current, upcoming, and future trends
80 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Thomas Jefferson University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago