Papers

2

Total Citations

3

H-Index

1

About

Dr. Meenu Singh is a leading figure in evidence-based healthcare, specializing in the intersection of machine learning, artificial intelligence, and telemedicine. Her pioneering work focuses on harnessing emerging technologies to transform evidence generation and synthesis, directly addressing critical gaps in clinical decision-making. Her highly cited 2024 paper on "Machine Learning and Artificial Intelligence in Evidence Generation and Evidence Synthesis" (2 citations) establishes a foundational framework for using AI to improve patient outcomes, reduce costs, and enhance healthcare equity. As a key organizer of Telemedicon 2023, she demonstrated her commitment to connecting India's healthcare system through digital innovation, bridging the gap between cutting-edge research and practical implementation. Her contributions are shaping how researchers and clinicians leverage AI to produce robust evidence, ultimately aiming to reduce suboptimal decision-making that leads to decreased patient health status and quality of life. Dr. Singh’s work is vital for students and researchers seeking to understand how technology can revolutionize healthcare delivery and evidence-based practice.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Machine Learning and Artificial Intelligence in Evidence Generation and Evidence Synthesis
2 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: All India Institute of Medical Sciences Rishikesh

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago