Luisa Renner
Papers
1
Total Citations
3
H-Index
1
About
Luisa Renner is a rising researcher at the intersection of artificial intelligence, health communication, and urological oncology. Her work centers on evaluating the readability and patient-centeredness of large language model (LLM)-generated chatbot responses, particularly in prostate cancer and urological care. In her most cited paper, "Readability of Chatbot Responses in Prostate Cancer and Urological Care: Objective Metrics Versus Patient Perceptions" (2025, 3 citations), Renner addresses a critical gap: while LLMs are increasingly deployed for patient education, only 12% of adults possess proficient health literacy, and most patient materials exceed recommended reading levels. She demonstrates that objective readability metrics often diverge from patient perceptions, highlighting the need for more nuanced, user-informed design in digital health tools. Renner’s contributions are timely, as they bridge technical AI development with real-world patient needs, advocating for accessible, empathetic communication in clinical settings. Her work has implications for reducing health disparities and improving shared decision-making in oncology. Though early in her career, Renner’s focus on readability and patient experience positions her as a key voice in the responsible deployment of AI in healthcare.
Research Focus
Key Achievements
Top Papers
- 1