Jennifer Teke
Papers
2
Total Citations
35
H-Index
2
About
Jennifer Teke is a pioneering researcher at the intersection of artificial intelligence, robotic surgery, and organ transplantation. Her work focuses on leveraging AI and machine learning to revolutionize transplant medicine, from donor-recipient matching to post-operative care. In her highly cited 2025 comprehensive review, Teke demonstrates how AI-driven image analysis enhances surgical planning, predictive analytics personalizes treatment, and intelligent logistics optimize organ retrieval and delivery—work that has already garnered 29 citations for its transformative potential. She also explores the broader landscape of robotic surgery, addressing current challenges and technological advances that promise global implementation. Teke’s contributions are shaping a future where precision medicine and automation reduce intraoperative risks and improve transplant outcomes. Her research not only advances clinical practice but also sets a roadmap for integrating AI into complex surgical workflows, making her a leading voice in the digital transformation of healthcare.
Research Focus
Key Achievements
Top Papers
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- 2