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Andre Esteva
Researcher at Salesforce.com
Publications - 43
Citations - 12414
Andre Esteva is an academic researcher from Salesforce.com. The author has contributed to research in topics: Prostate cancer & Medicine. The author has an hindex of 16, co-authored 31 publications receiving 7944 citations. Previous affiliations of Andre Esteva include Google & Stanford University.
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Journal ArticleDOI
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva,Brett Kuprel,Roberto A. Novoa,Justin M. Ko,Susan M. Swetter,Susan M. Swetter,Helen M. Blau,Sebastian Thrun +7 more
TL;DR: This work demonstrates an artificial intelligence capable of classifying skin cancer with a level of competence comparable to dermatologists, trained end-to-end from images directly, using only pixels and disease labels as inputs.
Journal ArticleDOI
A guide to deep learning in healthcare.
Andre Esteva,Alexandre Robicquet,Bharath Ramsundar,Volodymyr Kuleshov,Mark A. DePristo,Katherine Chou,Claire Cui,Greg S. Corrado,Sebastian Thrun,Jeffrey Dean +9 more
TL;DR: How these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems are described.
Journal ArticleDOI
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Eric Christiansen,Samuel Yang,D. Michael Ando,Ashkan Javaherian,Gaia Skibinski,Scott Lipnick,Elliot Mount,Alison O’Neil,Kevan Shah,Alicia K. Lee,Piyush Goyal,William Fedus,William Fedus,Ryan Poplin,Andre Esteva,Andre Esteva,Marc Berndl,Lee L. Rubin,Philip C. Nelson,Steven Finkbeiner,Steven Finkbeiner +20 more
TL;DR: It is shown that a computational machine-learning approach, which is called "in silico labeling" (ISL), reliably predicts some fluorescent labels from transmitted-light images of unlabeled fixed or live biological samples.
Journal ArticleDOI
Deep learning-enabled medical computer vision.
Andre Esteva,Katherine Chou,Serena Yeung,Nikhil Naik,Ali Madani,Ali Mottaghi,Yun Liu,Eric J. Topol,Jeffrey Dean,Richard Socher +9 more
TL;DR: In this paper, the authors survey recent progress in the development of modern computer vision techniques-powered by deep learning-for medical applications, focusing on medical imaging, medical video, and clinical deployment.
Journal ArticleDOI
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
S Cruz Rivera,Xiaoxuan Liu,An-Wen Chan,Alastair K Denniston,Melanie Calvert,Ara Darzi,Christopher Holmes,Christopher Yau,David Moher,Hutan Ashrafian,Jon Deeks,L Ferrante di Ruffano,Livia Faes,Pearse A. Keane,Sebastian J. Vollmer,A Y Lee,A Jonas,Andre Esteva,A L Beam,M B Panico,C S Lee,C Haug,Christopher Kelly,C Mulrow,C Espinoza,J Fletcher,D Paltoo,E Manna,Gary Price,Gary S. Collins,Hugh Harvey,J Matcham,J Monteiro,M K ElZarrad,L Oakden-Rayner,Melissa D McCradden,R Savage,Robert M. Golub,R Sarkar,S Rowley +39 more
TL;DR: The SPIRIT-AI (Standard Protocol Items: Recommendations for Interventional Trials-Artificial Intelligence) extension is a new reporting guideline for clinical trial protocols evaluating interventions with an AI component.