Published Jun 23, 2017

Doctor AI

Explore the intersection of AI and healthcare as Kyle Polich and Edward Choi discuss the Doctor AI model's groundbreaking use of recurrent neural networks in predicting clinical events, while emphasizing scientific skepticism's role in advancing reliable AI predictions and addressing AI's potential and challenges in fields like radiology.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Kyle Polich

Doctor AI

Topics covered

Popular Clips

EHR Data Insights

Predicting Hospital Visits

Doctor AI

Transfer Learning Insights

Cross Database Joins

Healthcare Analytics Insights

Doctor AI Insights

Model Limitations

Predictive Healthcare Insights

Ambitious Healthcare Predictions

RNN vs. Traditional Models

Missing 411 Investigation

Predicting Patient Outcomes

Upcoming Conferences

RNN Architecture Insights

Episode Highlights

Skepticism in AI

Healthcare Predictions

AI in Radiology

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Topics covered

Popular Clips

Episode Highlights

Skepticism in AI

Healthcare PredictionsEdward Choi discusses the Doctor AI model, which leverages recurrent neural networks to predict clinical events using electronic health records. This innovative approach aims to enhance healthcare by providing accurate and timely predictions of patient outcomes.

Healthcare Predictions

AI in RadiologyEdward Choi discusses the potential of AI in the medical field, particularly in radiology, and the challenges it faces. He highlights the capabilities of AI in analyzing medical data and its limitations compared to human expertise.

AI in Radiology

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