Sahil Gupta
Papers
1
Total Citations
11
H-Index
1
About
Sahil Gupta is a forward-looking researcher at the intersection of artificial intelligence and reproductive medicine, with a primary focus on leveraging computational tools to enhance Assisted Reproductive Technology (ART). His most cited work, the 2020 paper *"Artificial Intelligence in Assisted Reproductive Technology: Present and Future,"* has garnered 11 citations and serves as a foundational overview of how AI—from algorithmic decision-making to robotics—is transforming fertility treatments. In this review, Gupta systematically maps the current landscape, highlighting how machine learning models can optimize embryo selection, predict treatment outcomes, and personalize patient care, while also envisioning a future where AI-driven systems reduce human error and improve success rates. Though early in his career, his contributions are already shaping conversations around digital health in reproductive science, offering a roadmap for integrating intelligent software into clinical workflows. Gupta’s work stands out for its clarity in bridging technical AI concepts with practical medical applications, making him a key voice for students and researchers exploring the convergence of data science and human fertility.
Research Focus
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Top Papers
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