Aarushi Bansal

University of Petroleum and Energy Studies

Papers

Total Citations

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About

Aarushi Bansal is a rising researcher at the intersection of artificial intelligence and healthcare, with a primary focus on leveraging AI for clinical decision-making and medical education. Her most-cited work, "A Comprehensive Review on AI Techniques for Healthcare" (2023), provides a systematic analysis of how machine learning and deep learning models are transforming diagnosis, prognosis, treatment planning, and primary care. The paper critically examines both the promise and the challenges of integrating AI into real-world healthcare systems, highlighting barriers such as data privacy, algorithmic bias, and the need for robust validation. With 5 citations in a short span, this review has quickly become a foundational reference for researchers exploring AI’s role in medicine. Bansal’s contributions are particularly notable for bridging technical AI advancements with practical clinical applications, emphasizing the importance of accurate diagnosis as the cornerstone of effective healthcare. Her work serves as a valuable resource for students and practitioners seeking to understand how AI can augment—rather than replace—human expertise in medical settings. As the field rapidly evolves, Bansal’s research continues to shape discussions on responsible, impactful AI deployment in healthcare.