Published Jan 31, 2018

Ep. 47: How AI Can Improve Access to Palliative Care

Anand Avati, a Stanford graduate student, explores the transformative potential of AI in enhancing palliative care through mortality prediction and improving patient-doctor conversations, addressing technical challenges, data integrity, and building trust in AI-assisted healthcare.

Episode Highlights

Topics covered

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Episode Highlights

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Dexa/The AI Podcast

Ep. 47: How AI Can Improve Access to Palliative Care

Topics covered

Popular Clips

Mortality Prediction Models

Measuring Model Performance

Palliative Care Conversations

Palliative Care Insights

AI in Palliative Care

Machine Learning in Healthcare

Trusting AI in Healthcare

Healthcare Data Challenges

Episode Highlights

Palliative Care Insights

Mortality Prediction

AI in Healthcare

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Ep. 13: How AI Can Improve Brain Tumor Treatment

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Paige Cofounder Thomas Fuchs’ Diagnosis on Improving Cancer Patient Outcomes With AI - Ep. 228

Ep. 22: Kitt.ai Co-Founder on How AI Lets Us Talk with Our Machines

Ep. 18: How AI Learns Racism, Sexism

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Ep. 38: Spoiler Alert! AI Predicts Next Chapter in Game of Thrones Saga

Ep. 47: How AI Can Improve Access to Palliative Care

Topics covered

Popular Clips

Episode Highlights

Palliative Care Insights

Mortality PredictionAnand Avati discusses the development of a deep learning model to predict patient mortality and improve access to palliative care. He highlights the technical challenges, data issues, and the importance of trust in AI-assisted healthcare.

Mortality Prediction

AI in HealthcareNext, Anand Avati discusses the future prospects of AI and machine learning in healthcare. He shares insights on ongoing projects and the potential impact of these technologies on palliative care and beyond.

AI in Healthcare

Related Episodes