# Ai is Leveling the Medical Playing Field with Justin Ramsaran

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Text version: https://stenobird.com/podcast/the-american-college-of-artificial-intelligence-and-medicine-7112712/ai-is-leveling-the-medical-playing-field-with-justin-ramsaran.md
Podcast: [The American College of Artificial Intelligence and Medicine](https://stenobird.com/podcast/the-american-college-of-artificial-intelligence-and-medicine-7112712)
Published: 2025-05-26T22:00:13+00:00
Episode link: https://rss.com/podcasts/using-ai-for-good-with-doctor-melvin-speisman/2045118
Audio file: https://content.rss.com/episodes/302825/2045118/using-ai-for-good-with-doctor-melvin-speisman/2025_05_26_08_13_09_00f0cafc-ee47-4efa-a07a-4a8414d20491.mp3
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Duration seconds: 1962

## Resource

Justin Ramsaran is 30 Under 30 Nominee and an American digital health developer and entrepreneur who leverages cross-functional business strategies and digital transformation with artificial intelligence to empower individuals and advance healthcare systems. He is the CEO of R Group, a digital healthcare innovation company focused on developing next-generation clinical data systems to support future healthcare providers. Additionally, he serves as the VP of Digital Health Solutions for Fukuda Denshi, a Japanese medical device manufacturer dedicated to "transforming world-class technology into accessible healthcare for everyone." Justin is currently a doctoral candidate at Florida Tech, working on his dissertation at NYU Stern. At Florida Tech, he began developing the concept of integrating cross-functional business organization strategies from fintech, big tech, and Al companies into the healthcare system through an "Open Connected Architecture." In parallel, Justin continues to apply these cross-functional business strategies to other industries, including higher education and sports technology. Manifesto: Augment Human Learning with Machine Learning: Especially for social good. Utilize Unconventional Approaches to Complex Problems: Develop simple solutions. While these two ideas may seem disparate, they are interdependent. Humans often hold false notions about the world and encounter misinformation, yet we excel in learning within noisy environments. Augmenting human learning with machine learning requires a deeper understanding of learning in such environments. Across healthcare, agriculture, politics, economics, and transportation, our future as a species relies on the increasing synergy between machine learning and human learning. It is paramount that we develop t…

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