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In this episode, Ben and Daphna chat with Dr. Brynne Sullivan, neonatologist and associate professor at the University of Virginia, about her groundbreaking work in predictive analytics and AI-powered early warning systems for neonatal sepsis. Dr. Sullivan discusses the potential of AI to enhance neonatal care by identifying patterns in physiologic data, enabling timely interventions. She shares insights on integrating AI into clinical practice, building collaborative teams, and navigating institutional support for innovative approaches. This engaging conversation highlights the transformative impact of AI on quality improvement and neonatal care.
Support the show
As always, feel free to send us questions, comments, or suggestions to our email: [email protected]. You can also contact the show through Instagram or Twitter, @nicupodcast. Or contact Ben and Daphna directly via their Twitter profiles: @drnicu and @doctordaphnamd. The papers discussed in today's episode are listed and timestamped on the webpage linked below.
Enjoy!
By Ben Courchia & Daphna Yasova Barbeau4.9
151151 ratings
Send us a text
In this episode, Ben and Daphna chat with Dr. Brynne Sullivan, neonatologist and associate professor at the University of Virginia, about her groundbreaking work in predictive analytics and AI-powered early warning systems for neonatal sepsis. Dr. Sullivan discusses the potential of AI to enhance neonatal care by identifying patterns in physiologic data, enabling timely interventions. She shares insights on integrating AI into clinical practice, building collaborative teams, and navigating institutional support for innovative approaches. This engaging conversation highlights the transformative impact of AI on quality improvement and neonatal care.
Support the show
As always, feel free to send us questions, comments, or suggestions to our email: [email protected]. You can also contact the show through Instagram or Twitter, @nicupodcast. Or contact Ben and Daphna directly via their Twitter profiles: @drnicu and @doctordaphnamd. The papers discussed in today's episode are listed and timestamped on the webpage linked below.
Enjoy!

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