User profiles for A. Esteva

Andre Esteva

Co-Founder & CEO, Artera
Verified email at artera.ai
Cited by 19118

[HTML][HTML] Deep learning-enabled medical computer vision

A Esteva, K Chou, S Yeung, N Naik, A Madani… - NPJ digital …, 2021 - nature.com
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential
for many fields—including medicine—to benefit from the insights that AI techniques can …

[HTML][HTML] Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

…, MK ElZarrad, C Espinoza, A Esteva… - The Lancet Digital …, 2020 - thelancet.com
The CONSORT 2010 statement provides minimum guidelines for reporting randomised trials.
Its widespread use has been instrumental in ensuring transparency in the evaluation of …

[HTML][HTML] Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

…, MK ElZarrad, C Espinoza, A Esteva… - The Lancet Digital …, 2020 - thelancet.com
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol
reporting by providing evidence-based recommendations for the minimum set of items to be …

Dermatologist-level classification of skin cancer with deep neural networks

A Esteva, B Kuprel, RA Novoa, J Ko, SM Swetter… - nature, 2017 - nature.com
Skin cancer, the most common human malignancy 1, 2, 3, is primarily diagnosed visually,
beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a …

[PDF][PDF] In silico labeling: predicting fluorescent labels in unlabeled images

…, AK Lee, P Goyal, W Fedus, R Poplin, A Esteva… - Cell, 2018 - cell.com
Microscopy is a central method in life sciences. Many popular methods, such as antibody
labeling, are used to add physical fluorescent labels to specific cellular constituents. However, …

A guide to deep learning in healthcare

A Esteva, A Robicquet, B Ramsundar, V Kuleshov… - Nature medicine, 2019 - nature.com
Here we present deep-learning techniques for healthcare, centering our discussion on
deep learning in computer vision, natural language processing, reinforcement learning, and …

[HTML][HTML] COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization

A Esteva, A Kale, R Paulus, K Hashimoto, W Yin… - NPJ digital …, 2021 - nature.com
The COVID-19 global pandemic has resulted in international efforts to understand, track,
and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related …

Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks

A Esteva, B Kuprel, RA Novoa, J Ko, SM Swetter… - Nature, 2017 - nature.com
In the Acknowledgements section of this Letter, the sentence:“This study was supported by
the Baxter Foundation, California Institute for Regenerative Medicine (CIRM) grants TT3-…

[HTML][HTML] Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

N Naik, A Madani, A Esteva, NS Keskar… - Nature …, 2020 - nature.com
For newly diagnosed breast cancer, estrogen receptor status (ERS) is a key molecular
marker used for prognosis and treatment decisions. During clinical management, ERS is …

[HTML][HTML] Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

A Esteva, J Feng, D van der Wal, SC Huang… - NPJ digital …, 2022 - nature.com
Prostate cancer is the most frequent cancer in men and a leading cause of cancer death.
Determining a patient’s optimal therapy is a challenge, where oncologists must select a therapy …