A citation-based method for searching scientific literature

Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M Dai, Nissan Hajaj, Michaela Hardt, Peter J Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H Shah, Atul J Butte, Michael D Howell, Claire Cui, Greg S Corrado, Jeffrey Dean. NPJ Digit Med 2018
Times Cited: 491







List of co-cited articles
499 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
16

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
16

Machine Learning in Medicine.
Alvin Rajkomar, Jeffrey Dean, Isaac Kohane. N Engl J Med 2019
501
14


Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
14

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,[...]. JAMA 2016
13

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.
Benjamin A Goldstein, Ann Marie Navar, Michael J Pencina, John P A Ioannidis. J Am Med Inform Assoc 2017
234
13


Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.
Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi. IEEE J Biomed Health Inform 2018
185
11

A guide to deep learning in healthcare.
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun, Jeff Dean. Nat Med 2019
408
11

MIMIC-III, a freely accessible critical care database.
Alistair E W Johnson, Tom J Pollard, Lu Shen, Li-Wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G Mark. Sci Data 2016
10

A clinically applicable approach to continuous prediction of future acute kidney injury.
Nenad Tomašev, Xavier Glorot, Jack W Rae, Michal Zielinski, Harry Askham, Andre Saraiva, Anne Mottram, Clemens Meyer, Suman Ravuri, Ivan Protsyuk,[...]. Nature 2019
233
9

Improving palliative care with deep learning.
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, Nigam H Shah. BMC Med Inform Decis Mak 2018
72
11

Dissecting racial bias in an algorithm used to manage the health of populations.
Ziad Obermeyer, Brian Powers, Christine Vogeli, Sendhil Mullainathan. Science 2019
397
8

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,[...]. Nat Med 2018
567
7

Key challenges for delivering clinical impact with artificial intelligence.
Christopher J Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, Dominic King. BMC Med 2019
181
7

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.
Evangelia Christodoulou, Jie Ma, Gary S Collins, Ewout W Steyerberg, Jan Y Verbakel, Ben Van Calster. J Clin Epidemiol 2019
295
6

Deep learning for healthcare: review, opportunities and challenges.
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T Dudley. Brief Bioinform 2018
326
6

Using recurrent neural network models for early detection of heart failure onset.
Edward Choi, Andy Schuetz, Walter F Stewart, Jimeng Sun. J Am Med Inform Assoc 2017
175
6

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.
Shamim Nemati, Andre Holder, Fereshteh Razmi, Matthew D Stanley, Gari D Clifford, Timothy G Buchman. Crit Care Med 2018
192
6



Big Data and Machine Learning in Health Care.
Andrew L Beam, Isaac S Kohane. JAMA 2018
380
5

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Babak Ehteshami Bejnordi, Mitko Veta, Paul Johannes van Diest, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen A W M van der Laak, Meyke Hermsen, Quirine F Manson, Maschenka Balkenhol,[...]. JAMA 2017
660
5

The practical implementation of artificial intelligence technologies in medicine.
Jianxing He, Sally L Baxter, Jie Xu, Jiming Xu, Xingtao Zhou, Kang Zhang. Nat Med 2019
257
5

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies.
Myura Nagendran, Yang Chen, Christopher A Lovejoy, Anthony C Gordon, Matthieu Komorowski, Hugh Harvey, Eric J Topol, John P A Ioannidis, Gary S Collins, Mahiben Maruthappu. BMJ 2020
157
5

BEHRT: Transformer for Electronic Health Records.
Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaine, Rema Ramakrishnan, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi-Khorshidi. Sci Rep 2020
24
20

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F Stewart, Jimeng Sun. JMLR Workshop Conf Proc 2016
132
5

Machine Learning in Medicine.
Rahul C Deo. Circulation 2015
657
5

Recurrent Neural Networks for Multivariate Time Series with Missing Values.
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, Yan Liu. Sci Rep 2018
97
5

How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature.
Yun Liu, Po-Hsuan Cameron Chen, Jonathan Krause, Lily Peng. JAMA 2019
133
4

Fully Automated Echocardiogram Interpretation in Clinical Practice.
Jeffrey Zhang, Sravani Gajjala, Pulkit Agrawal, Geoffrey H Tison, Laura A Hallock, Lauren Beussink-Nelson, Mats H Lassen, Eugene Fan, Mandar A Aras, ChaRandle Jordan,[...]. Circulation 2018
192
4

Artificial Intelligence in Cardiology.
Kipp W Johnson, Jessica Torres Soto, Benjamin S Glicksberg, Khader Shameer, Riccardo Miotto, Mohsin Ali, Euan Ashley, Joel T Dudley. J Am Coll Cardiol 2018
199
4

Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.
Nathan Brajer, Brian Cozzi, Michael Gao, Marshall Nichols, Mike Revoir, Suresh Balu, Joseph Futoma, Jonathan Bae, Noppon Setji, Adrian Hernandez,[...]. JAMA Netw Open 2020
16
25

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.
Ryan Poplin, Avinash V Varadarajan, Katy Blumer, Yun Liu, Michael V McConnell, Greg S Corrado, Lily Peng, Dale R Webster. Nat Biomed Eng 2018
377
4

Fast and accurate view classification of echocardiograms using deep learning.
Ali Madani, Ramy Arnaout, Mohammad Mofrad, Rima Arnaout. NPJ Digit Med 2018
96
4

A survey on deep learning in medical image analysis.
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A W M van der Laak, Bram van Ginneken, Clara I Sánchez. Med Image Anal 2017
4

Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.
Ziad Obermeyer, Ezekiel J Emanuel. N Engl J Med 2016
753
4

Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.
Huiying Liang, Brian Y Tsui, Hao Ni, Carolina C S Valentim, Sally L Baxter, Guangjian Liu, Wenjia Cai, Daniel S Kermany, Xin Sun, Jiancong Chen,[...]. Nat Med 2019
127
4

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
R Andrew Taylor, Joseph R Pare, Arjun K Venkatesh, Hani Mowafi, Edward R Melnick, William Fleischman, M Kennedy Hall. Acad Emerg Med 2016
159
4

Axes of a revolution: challenges and promises of big data in healthcare.
Smadar Shilo, Hagai Rossman, Eran Segal. Nat Med 2020
51
7

Unintended Consequences of Machine Learning in Medicine.
Federico Cabitza, Raffaele Rasoini, Gian Franco Gensini. JAMA 2017
258
4

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
Pranav Rajpurkar, Jeremy Irvin, Robyn L Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P Langlotz,[...]. PLoS Med 2018
235
4

Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
4

Reporting of artificial intelligence prediction models.
Gary S Collins, Karel G M Moons. Lancet 2019
184
4

Do no harm: a roadmap for responsible machine learning for health care.
Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Vincent X Liu, Finale Doshi-Velez, Kenneth Jung, Katherine Heller, David Kale, Mohammed Saeed,[...]. Nat Med 2019
99
4

Big data in health care: using analytics to identify and manage high-risk and high-cost patients.
David W Bates, Suchi Saria, Lucila Ohno-Machado, Anand Shah, Gabriel Escobar. Health Aff (Millwood) 2014
302
4


Deep Learning in Medicine-Promise, Progress, and Challenges.
Fei Wang, Lawrence Peter Casalino, Dhruv Khullar. JAMA Intern Med 2019
59
6

Readmission prediction via deep contextual embedding of clinical concepts.
Cao Xiao, Tengfei Ma, Adji B Dieng, David M Blei, Fei Wang. PLoS One 2018
25
16


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.