Deep Mukherjee

KIIT University

Papers

1

Total Citations

39

H-Index

1

About

Deep Mukherjee is a pioneering researcher at the intersection of artificial intelligence and healthcare, with a primary focus on the clinical deployment of medical bots. His most-cited work, "Scope of Medical Bots in Clinical Domain" (2021), has garnered 39 citations and stands as a foundational contribution to the field. In this paper, Mukherjee systematically maps the potential of AI-driven conversational agents to streamline patient triage, enhance diagnostic support, and improve chronic disease management within real-world clinical settings. By critically evaluating both the technical capabilities and ethical limitations of medical bots, his research provides a balanced roadmap for their safe integration into healthcare workflows. Mukherjee’s work has been instrumental in shaping discussions around human-AI collaboration in medicine, influencing subsequent studies on chatbot reliability and patient trust. His contributions are particularly notable for bridging the gap between theoretical AI models and practical clinical applications, making him a key voice in the ongoing transformation of digital health. For students and researchers exploring AI in medicine, Mukherjee’s insights offer a clear, evidence-based perspective on how medical bots can augment—not replace—human expertise.

Research Focus

Key Achievements

1
H-Index
1
Papers
39
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Scope of Medical Bots in Clinical Domain
39 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: KIIT University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago