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In a wide array of areas, algorithms are matching and surpassing the performance of human experts, leading to consideration of the roles of human judgment and algorithmic prediction in these domains.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Diabetic retinopathy – biomolecules and multiple pathophysiology
Hasseb Ahsan · 2015
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Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, Ramasamy Kim, Rajiv Raman, Philip Q Nelson, Jessica Mega, and Dale Webster · 2016
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger · 2017
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Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter Karth, Kasumi Widner, Gregory S. Corrado, Lily Peng, and Dale R. Webster · 2017
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Detecting cancer metastases on gigapixel pathology images
Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q Nelson, Greg S Corrado, et al · 2017
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Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, and Andrew Y. Ng · 2017
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Clinically applicable deep learning for diagnosis and referral in retinal disease
Jeffrey De Fauw, Joseph R Ledsam, Bernardino Romera-Paredes, Stanislav Nikolov, Nenad Tomasev, Sam Blackwell, Harry Askham, Xavier Glorot, Brendan O’Donoghue, Daniel Visentin, et al · 2018
Cited alongside, same era.
Segmentation of the proximal femur from mr images using deep convolutional neural networks
Cem M Deniz, Siyuan Xiang, R Spencer Hallyburton, Arakua Welbeck, James S Babb, Stephen Honig, Kyunghyun Cho, and Gregory Chang · 2018
Cited alongside, same era.
Model-based reinforcement learning for sepsis treatment
Aniruddh Raghu, Matthieu Komorowski, and Sumeetpal Singh · 2018
Later among the works it cites.
Direct uncertainty prediction with applications to healthcare
Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, and Jon Kleinberg · 2018
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Human-centered tools for coping with imperfect algorithms during medical decision-making
Carrie J Cai, Emily Reif, Narayan Hegde, Jason Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda Viegas, Greg S Corrado, Martin C Stumpe, et al · 2019
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High-performance medicine: the convergence of human and artificial intelligence
Eric Topol · 2019
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A deep learning model to predict a diagnosis of alzheimer disease by using 18f-fdg pet of the brain
Yiming Ding, Jae Ho Sohn, Michael G Kawczynski, Hari Trivedi, Roy Harnish, Nathaniel W Jenkins, Dmytro Lituiev, Timothy P Copeland, Mariam S Aboian, Carina Mari Aparici, et al · 2018
Cited alongside, same era.
International Clinical Diabetic Retinopathy Disease Severity Scale Detailed Table
American Academy of Ophthalmology
Cited in the paper.