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Author Details

Lily Peng
Google Health
2006
59
33
PMIDPaper TitleJournal TitlePublished Year
36066366Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.Radiology2023
37598188Network pharmacology prediction and experimental verification of Rhubarb-Peach Kernel promoting apoptosis in endometriosis.BMC Complement Med Ther2023
38079169Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study.Transl Vis Sci Technol2023
37291435Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging.Nat Biomed Eng2023
37248297Lessons learned from translating AI from development to deployment in healthcare.Nat Med2023
36966118A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.Lancet Digit Health2023
37095223Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning.Commun Med (Lond)2023
36917112Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification.JAMA Netw Open2023
35272972Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study.Lancet Digit Health2022
35352000Detection of signs of disease in external photographs of the eyes via deep learning.Nat Biomed Eng2022
36249461A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment.Commun Med (Lond)2022
36192400Deep learning models for histologic grading of breast cancer and association with disease prognosis.NPJ Breast Cancer2022
34999015Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study.Ophthalmol Retina2022
34244270Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.BMJ Open2021
35665212Machine learning for clinical operations improvement via case triaging.Skin Health Dis2021
35602213Determining breast cancer biomarker status and associated morphological features using deep learning.Commun Med (Lond)2021
35602201Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.Commun Med (Lond)2021
33909055Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.JAMA Netw Open2021
33875798Interpretable survival prediction for colorectal cancer using deep learning.NPJ Digit Med2021
33735063Predicting the risk of developing diabetic retinopathy using deep learning.Lancet Digit Health2021
34077760Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.Am J Hum Genet2021
32424212A deep learning system for differential diagnosis of skin diseases.Nat Med2020
31873211Detection of anaemia from retinal fundus images via deep learning.Nat Biomed Eng2020
32051580Author Correction: Detection of anaemia from retinal fundus images via deep learning.Nat Biomed Eng2020
31894144International evaluation of an AI system for breast cancer screening.Nature2020
31913272Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.Nat Commun2020
33057216Addendum: International evaluation of an AI system for breast cancer screening.Nature2020
33381600Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.J Diabetes Res2020
32701148Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens.JAMA Oncol2020
32382142AI papers in ophthalmology made simple.Eye (Lond)2020
30361278Artificial intelligence and deep learning in ophthalmology.Br J Ophthalmol2019
31754638Erratum: Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.NPJ Digit Med2019
31867141Remote Tool-Based Adjudication for Grading Diabetic Retinopathy.Transl Vis Sci Technol2019
31714992How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature.JAMA2019
31561879Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.Ophthalmology2019
31341955Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.NPJ Digit Med2019
31253948Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.Nat Med2019
31194246Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India.JAMA Ophthalmol2019
31304402Similar image search for histopathology: SMILY.NPJ Digit Med2019
31304394Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.NPJ Digit Med2019
31304372Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.NPJ Digit Med2019
30948816Spotting brain bleeding after sparse training.Nat Biomed Eng2019
31000806How to develop machine learning models for healthcare.Nat Mater2019
31110349End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.Nat Med2019
31048019Deep learning in ophthalmology: The technical and clinical considerations.Prog Retin Eye Res2019
30553900Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.Ophthalmology2019
30295070Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists.Arch Pathol Lab Med2019
29548646Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy.Ophthalmology2018
30025129Deep Learning for Predicting Refractive Error From Retinal Fundus Images.Invest Ophthalmol Vis Sci2018
30312179Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.Am J Surg Pathol2018
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Collaborators

Dale R Webster
Google Health
Co-authored papers 27
Craig H Mermel
Co-authored papers 9
Rajiv Raman
Medical Research Foundation
Co-authored papers 8
Jason D Hipp
Mayo Clinic
Co-authored papers 6
Tejal A Desai
University of California San Francisco
Co-authored papers 5
Pearse A Keane
Moorfields Eye Hospital NHS Foundation Trust
Co-authored papers 5
Daniel S W Ting
Singapore Eye Research Institute
Co-authored papers 3
April Y Maa
Emory University School of Medicine, USA Regional Telehealth Services
Co-authored papers 3
Andrew J Evans
Princess Margaret Cancer Center, University Health Network.
Co-authored papers 3
Alan Karthikesalingam
Google Health.
Co-authored papers 2
Hutan Ashrafian
Imperial College Healthcare NHS Foundation Trust
Co-authored papers 2
Dominic King
Sandwell and West Birmingham NHS Trust
Co-authored papers 2
Fiona J Gilbert
Cambridge University
Co-authored papers 2
Louis R Pasquale
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Leopold Schmetterer
Singapore Eye Research Institute
Co-authored papers 2
Tien Yin Wong
Tsinghua University
Co-authored papers 2
Ara Darzi
Imperial College London
Co-authored papers 2
Reena Chopra
Google Health
Co-authored papers 2
Farhad Hormozdiari
Co-authored papers 1
Karel G M Moons
Julius Center for Health Sciences and Primary Care, UMC Utrecht, Trecht University
Co-authored papers 1
Ryan Poplin
Co-authored papers 1
Gary S Collins
University of Oxford
Co-authored papers 1
Michael R Emmert-Buck
The Francis Crick Institute
Co-authored papers 1
Peter A Humphrey
Yale University School of Medicine
Co-authored papers 1
Thomas J Montine
Stanford University
Co-authored papers 1
Ting Shih
From Google Health, S.P.) Advanced Clinical
Co-authored papers 1
Theodorus H van der Kwast
University Health Network, University of Toronto
Co-authored papers 1
Aaron Lee
Harvard University, Moorfields Eye Hospital NHS Foundation Trust, St. John's Mercy Hospital, University of British Columbia, University of Washington, Washington University in Saint Louis
Co-authored papers 1
Michael F Chiang
National Eye Institute, National Institutes of Health
Co-authored papers 1
Neil M Bressler
Wilmer Eye Institute, Johns Hopkins University School of Medicine
Co-authored papers 1
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