Nikhil Bellamkonda

University of Utah

Papers

1

Total Citations

6

H-Index

1

About

Dr. Nikhil Bellamkonda is a rising investigator at the intersection of artificial intelligence and clinical oncology, with a primary focus on head and neck cancers. His most cited work, "Evaluating the Accuracy of ChatGPT in Common Patient Questions Regarding HPV+ Oropharyngeal Carcinoma" (2024, 6 citations), represents a pioneering effort to assess the reliability of large language models in addressing real-world patient concerns. This study critically examined ChatGPT’s responses to frequently asked questions about HPV-positive oropharyngeal carcinoma, highlighting both the potential and limitations of AI-driven patient education in oncology. Beyond this landmark paper, Dr. Bellamkonda’s research portfolio explores how emerging technologies can bridge gaps in cancer care communication, particularly for complex, high-stakes diagnoses. His work has been recognized for its timely relevance as LLMs become increasingly integrated into healthcare settings. By systematically evaluating AI accuracy against established clinical guidelines, he provides essential guardrails for both clinicians and patients navigating this new digital landscape. With a growing citation footprint and a focus on translational applications, Dr. Bellamkonda is establishing himself as a key voice in the responsible deployment of AI for oncological patient support.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Evaluating the Accuracy of ChatGPT in Common Patient Questions Regarding HPV+ Oropharyngeal Carcinoma
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Utah

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago