Publications by authors named "Dale Webster"

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PolyPath: Adapting a Large Multimodal Model for Multislide Pathology Report Generation.
Faruk Ahmed, Lin Yang, Tiam Jaroensri, Andrew Sellergren, Yossi Matias, Dale R Webster

Mod Pathol· November 2025

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Evaluating medical AI systems in dermatology under uncertain ground truth.
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Dale R Webster

Med Image Anal· July 2025

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Towards accurate differential diagnosis with large language models.
Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Dale R Webster

Nature· June 2025

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Closing the AI generalisation gap by adjusting for dermatology condition distribution differences across clinical settings.
Rajeev V Rikhye, Aaron Loh, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Dale R Webster

EBioMedicine· June 2025

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Pangenome-aware DeepVariant.
Mobin Asri, Pi-Chuan Chang, Juan Carlos Mier, Jouni Sirén, Parsa Eskandar, Dale R Webster

bioRxiv· June 2025

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Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes.
Antonio Tan-Torres, Pradeep A Praveen, Divleen Jeji, Arthur Brant, Xiang Yin, Dale R Webster

Ophthalmol Ther· May 2025

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Toward expert-level medical question answering with large language models.
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Dale R Webster

Nat Med· March 2025

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Performance of a Deep Learning Diabetic Retinopathy Algorithm in India.
Arthur Brant, Preeti Singh, Xiang Yin, Lu Yang, Jay Nayar, Dale R Webster

JAMA Netw Open· March 2025

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Safety principles for medical summarization using generative AI.
Dillon Obika, Christopher Kelly, Nicola Ding, Chris Farrance, Jonathan Krause, Dale Webster

Nat Med· December 2024

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Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements.
Abbi Ward, Jimmy Li, Julie Wang, Sriram Lakshminarasimhan, Ashley Carrick, Dale R Webster

JAMA Netw Open· November 2024

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Using generative AI to investigate medical imagery models and datasets.
Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R Bennett, Dale R Webster

EBioMedicine· April 2024

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Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study.
Mike Schaekermann, Terry Spitz, Malcolm Pyles, Heather Cole-Lewis, Ellery Wulczyn, Dale R Webster

EClinicalMedicine· April 2024

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Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin Conditions.
Rajeev V Rikhye, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Aaron Loh, Dale R Webster

Mayo Clin Proc Digit Health· March 2024

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An intentional approach to managing bias in general purpose embedding models.
Wei-Hung Weng, Andrew Sellergen, Atilla P Kiraly, Alexander D'Amour, Jungyeon Park, Dale R Webster

Lancet Digit Health· February 2024

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Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study.
Ashish Bora, Richa Tiwari, Pinal Bavishi, Sunny Virmani, Rayman Huang, Dale R Webster

Transl Vis Sci Technol· December 2023

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Large language models encode clinical knowledge.
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Dale Webster

Nature· August 2023

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Publisher Correction: Large language models encode clinical knowledge.
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Dale Webster

Nature· August 2023

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Lessons learned from translating AI from development to deployment in healthcare.
Kasumi Widner, Sunny Virmani, Jonathan Krause, Jay Nayar, Richa Tiwari, Dale R Webster

Nat Med· June 2023

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Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging.
Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Dale R Webster

Nat Biomed Eng· June 2023

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A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.
Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Dale R Webster

Lancet Digit Health· May 2023

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Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification.
Vincenzo L'Imperio, Ellery Wulczyn, Markus Plass, Heimo Müller, Nicolò Tamini, Dale R Webster

JAMA Netw Open· March 2023

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Detection of signs of disease in external photographs of the eyes via deep learning.
Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, Dale R Webster

Nat Biomed Eng· December 2022

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Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study.
Xinle Liu, Tayyeba K Ali, Preeti Singh, Ami Shah, Scott Mayer McKinney, Dale R Webster

Ophthalmol Retina· May 2022

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Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study.
Paisan Ruamviboonsuk, Richa Tiwari, Rory Sayres, Variya Nganthavee, Kornwipa Hemarat, Dale R Webster

Lancet Digit Health· April 2022

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A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose, Nigam H Shah, Marzyeh Ghassemi, Dale Webster

Nat Med· October 2021

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