Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Published:Nov 16, 2020 22:20
•1 min read
•Practical AI
Analysis
This article from Practical AI discusses Devin Singh's work in clinical AI and machine learning, focusing on his efforts to bridge the gap between academic research and practical deployment in hospitals. It highlights the challenges of translating research into real-world applications, the role of HeroAI in commercializing AI solutions, and the importance of addressing bias and stakeholder engagement in the development of these systems. The conversation covers the current incentives in academic research, the creation of automated pipelines, and the design methodology for building ML systems.
Key Takeaways
- •The article highlights the challenges in translating academic AI research into practical hospital deployments.
- •Devin Singh is working to commercialize and deploy AI solutions through HeroAI.
- •Bias mitigation, stakeholder engagement, and design methodology are crucial for building effective ML systems in healthcare.
Reference
“We also talk about his work at Hero AI, where he is commercializing and deploying his academic research to build out infrastructure and deploy AI solutions within hospitals, creating an automated pipeline with patients, caregivers, and EHS companies.”