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Pranav Rajpurkar

Harvard University

United States

Research Interests

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Articles (20)

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Collaborators (7)

Arjun Manrai

Associate Professor

Harvard Medical School

UNITED STATES

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Eric Topol

Director and Professor of Genomics

Scripps Research Institute

UNITED STATES

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Subathra Adithan

Additional Professor

Jawaharlal Institute of Postgraduate Medical Education & Research

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David Kim

Assistant Professor

Stanford University

UNITED STATES

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Michael Abramoff

The Robert C. Watzke Professor of Retina Research

University of Iowa Healthcare

UNITED STATES

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Florence Xini Doo

Co-Lead, AI-Enabled Medical Imaging, Center for Applied AI

University of Maryland Medical Center

UNITED STATES

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Winnie Chu

Professor

The Chinese University of Hong Kong (CUHK)

HONG KONG

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Pranav Rajpurkar

Research Interests

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Articles (20)

Multimodal foundation models exploit text to make medical image predictions

MedVersa: A Generalist Foundation Model for Diverse Medical Imaging Tasks

Generalist biological artificial intelligence in modeling the language of life

Unifying the odyssey: artificial intelligence for rare disease diagnosis and therapy

MC-MED, multimodal clinical monitoring in the emergency department

NotifAI-OS: an AI framework for automated CT-based opportunistic screening in post-acute value-based care

Multimodal generative AI for medical image interpretation

Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report

Catalyzing Health AI by Fixing Payment Systems

The Financial, Operational, and Clinical Advantages of Generalist Radiology AI

Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification

Beyond Assistance: The Case for Role Separation in AI-Human Radiology Workflows

The generative era of medical AI

A large model for non-invasive and personalized management of breast cancer from multiparametric MRI

Coordinated AI agents for advancing healthcare

Implications of Race Adjustment in Lung-Function Equations.

Pixels and Pitfalls: Building Robust Artificial Intelligence for Medical Imaging

Heterogeneity and predictors of the effects of AI assistance on radiologists

Autonomous AI systems in the face of liability, regulations and costs

A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring

Collaborators (7)

Arjun Manrai

Eric Topol

Subathra Adithan

David Kim

Michael Abramoff

Florence Xini Doo

Winnie Chu

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