Bhumika Sharma
Papers
1
Total Citations
5
H-Index
1
About
Bhumika Sharma is a rising researcher at the intersection of artificial intelligence and healthcare, with a primary focus on how AI techniques can revolutionize clinical practice. Her most cited work, "A Comprehensive Review on AI Techniques for Healthcare" (2023), has already garnered 5 citations, establishing her as a thoughtful voice in this rapidly evolving field. In this comprehensive chapter, Sharma systematically examines AI’s transformative role across diagnosis, prognosis, treatment planning, medical education, and primary care—while critically addressing the challenges of integrating these technologies into real-world healthcare systems. Her work emphasizes that accurate diagnosis remains the cornerstone of global healthcare, and she explores how machine learning and deep learning models can enhance precision, reduce human error, and improve patient outcomes. Beyond her review, Sharma’s research demonstrates a commitment to bridging the gap between cutting-edge computational methods and practical clinical applications. As an early-career scholar, her contributions are already shaping conversations around responsible AI deployment in medicine, making her a researcher to watch for students and professionals interested in the future of intelligent, data-driven healthcare.
Research Focus
Key Achievements
Top Papers
- 1A Comprehensive Review on AI Techniques for Healthcare5 citations · 2023