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Andre Esteva is a researcher and entrepreneur in deep learning and computer vision. He currently serves as Head of Medical AI at Salesforce Research. Notably, he has led research efforts in AI-enabled medical diagnostics, and therapeutic decision making.

For instance, his work has shown that computer vision algorithms can match and exceed the performance of top physicians at diagnosing cancers from medical imagery. Expanded into video they can diagnose behavioral conditions like autism.

In the space of AI-enabled therapeutics, his research leverages multi-modal datasets to train AI models that can personalize oncology treatments for patients by determing the best course of therapy for them. He has published numerous review articles, and co-authored the standardized guidelines for AI in clinical trials.

His work has made the covers of Nature and Nature Medicine, as well as Cell, The Lancet, NeurIPS, and other venues, while being widely covered by the WSJ, Fortune, BBC, The Economist, and hundreds of other news outlets. He has worked at Google Research, Sandia National Labs, and GE Healthcare, and has co-founded two tech startups.

He obtained his PhD in Artificial Intelligence at Stanford, where he worked with Sebastian Thrun, Jeff Dean, Stephen Boyd, Fei-Fei Li, and Eric Topol. His research was in deep learning and computer vision, with applications built for dermatology, drug screening, neuroscience, and psychiatry.

He finished undergraduate degrees with highest honors in Electrical Engineering and Pure Math from UT-Austin and was awarded Engineering Valedictorian (formally, the Outstanding Scholar-Leader Award).

Select Publications

Full list: Google Scholar

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, Robert Golub, Charles E Kahn, Andre Esteva, Alan Karthikesalingam, Bilal Mateen, Dale Webster, Dan Milea, Daniel Ting, Darren Treanor, Dominic Cushnan, Dominic King, Duncan McPherson, Ben Glocker, Felix Greaves, Leanne Harling, Johan Ordish, Jérémie F Cohen, Jon Deeks, Mariska Leeflang, Matthew Diamond, Matthew DF McInnes, Melissa McCradden, Michael D Abràmoff, Pasha Normahani, Sheraz R Markar, Stephanie Chang, Xiaoxuan Liu, Susan Mallett, Shravya Shetty, Alastair Denniston, Gary S Collins, David Moher, Penny Whiting, Patrick M Bossuyt, Ara Darzi
Biological data annotation via a human-augmenting AI-based labeling system
Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeff Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher
Deep learning-enabled medical computer vision
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean & Richard Socher
Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains.
Nikhil Naik, Ali Madani, Andre Esteva, Nitish Keskar, Michael Press, Dan Ruderman, David Agus, Richard Socher
Best practices for authors of healthcare-related artificial intelligence manuscripts
Sujay Kakarmath, Andre Esteva, Rima Arnaout, Hugh Harvey, Santosh Kumar, Evan Muse, Feng Dong, Leia Wedlund & Joseph Kvedar
1. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
2. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, Melanie J. Calvert, Alastair K. Denniston Aaron Y. Lee, Adrian Jonas, An-Wen Chan, Ara Darzi, Christopher Holmes, Christopher Yau, Hutan Ashrafian, Jonathan J. Deeks, Lavinia Ferrante di Ruffano, Livia Faes, Pearse A. Keane, Sebastian J. Vollmer, Andre Esteva , Andrew L. Beam, An-Wen Chan, Maria Beatrice Panico, Cecilia S. Lee, Charlotte Haug, Christopher J. Kelly, Christopher Yau, Cynthia Mulrow, Cyrus Espinoza, John Fletcher, David Moher, Dina Paltoo, Elaine Manna, Gary Price, Gary S. Collins, Hugh Harvey, James Matcham, Joao Monteiro, M. Khair ElZarrad, Lavinia Ferrante di Ruffano, Luke Oakden-Rayner, Melanie J. Calvert, Melissa McCradden, Pearse A. Keane, Richard Savage, Robert Golub, Rupa Sarkar & Samuel Rowley
Article Venues: Selected Press: Awards:
A mountable toilet system for personalized health monitoring
Seung-min Park, Daeyoun D. Won, Brian J. Lee, Diego Escobedo, Andre Esteva, Amin Aalipour, T. Jessie Ge, Jung Ha Kim, Susie Suh, Elliot H. Choi, Alexander X. Lozano, Chengyang Yao, Sunil Bodapati, Friso B. Achterberg, Jeesu Kim, Hwan Park, Youngjae Choi, Woo Jin Kim, Jung Ho Yu, Alexander M. Bhatt, Jong Kyun Lee, Ryan Spitler, Shan X. Wang & Sanjiv S. Gambhir
Nature Biomedical Engineering, April 2020
Article Metrics
  • Ranked #1 amongst all Nature BME papers
  • Covered by over 100 news outlets
  • Tweeted over 15,000 times
Can skin cancer diagnosis be transformed by AI?
Andre Esteva, Eric Topol
A Guide to Deep Learning in Healthcare
Andre Esteva*, Alexandre Robicquet*, Bharath Ramsundar#, Volodymr Kuleshov#, Katherine Chou#, Mark DePristo#, Claire Cui, Greg Corrado, Sebastian Thrun, Jeff Dean
*equal contribution authors
#equal contribution authors
equal contribution authors
Nature Medicine, January 2019
Open-source PDF
Article Metrics
  • Ranked #8 amongst all Nature Medicine papers of a similar age
  • Covered by 5 news outlets
  • Tweeted over 600 times
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Eric Christiansen*, Samuel Yang, Dale Ando#, Ashkan Javaherian#, Gaia Skibinski#, Scott Lipnick,#, Elliot Mount, Alison O’Neil, Kevan Shah, Alicia K. Lee, Piyush Goyal, Liam Fedus, Ryan Poplin, Andre Esteva, Lee Rubin, Philip Nelson*, Steven Finkbeiner*
#These authors made comparable contributions
These authors made comparable contributions
Cell, April 2018
Article Metrics
  • Covered by 8 news outlets
  • Tweeted over 600 times
Artificial Intelligence in Healthcare and Medicine: Enhancing the Expert
Andre Esteva
PhD Thesis
Dermatologist-level Classification of Skin Cancer with Deep Neural Networks
Andre Esteva*, Brett Kuprel*, Rob Novoa, Justin Ko, Susan M. Swetter, Helen Blau, Sebastian Thrun
*equal contribution authors
Nature Letter, January 2017
Nature News and Views
Nature Video (YouTube)
Nature Reviews Cancer
Article Metrics
  • Ranked #4 amongst all Nature papers of a similar age
  • Covered by over 200 news outlets
  • Tweeted over 2,000 times
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
Yunzhu Li*, Andre Esteva*, Brett Kuprel, Rob Novoa, Justin Ko, Sebastian Thrun
*equal contribution authors
Vision-Based Classification of Developmental Disorders using Eye Movements
Guido Pusiol, Andre Esteva, Scott Hall, Michael Frank, Arnold Milstein, Li Fei-Fei

Select Invited Talks

HLTH Conference, October, 2020