A citation-based method for searching scientific literature

Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, Melanie J Calvert, Alastair K Denniston. Nat Med 2020
Times Cited: 76







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



Times Cited
  Times     Co-cited
Similarity


Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.
Samantha Cruz Rivera, Xiaoxuan Liu, An-Wen Chan, Alastair K Denniston, Melanie J Calvert. Nat Med 2020
60
66

Reporting of artificial intelligence prediction models.
Gary S Collins, Karel G M Moons. Lancet 2019
175
32

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
144
25

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.
Viknesh Sounderajah, Hutan Ashrafian, Ravi Aggarwal, Jeffrey De Fauw, Alastair K Denniston, Felix Greaves, Alan Karthikesalingam, Dominic King, Xiaoxuan Liu, Sheraz R Markar,[...]. Nat Med 2020
42
42

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
Xiaoxuan Liu, Livia Faes, Aditya U Kale, Siegfried K Wagner, Dun Jack Fu, Alice Bruynseels, Thushika Mahendiran, Gabriella Moraes, Mohith Shamdas, Christoph Kern,[...]. Lancet Digit Health 2019
211
22

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
22



Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension.
Samantha Cruz Rivera, Xiaoxuan Liu, An-Wen Chan, Alastair K Denniston, Melanie J Calvert. BMJ 2020
32
37

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study.
Pu Wang, Tyler M Berzin, Jeremy Romek Glissen Brown, Shishira Bharadwaj, Aymeric Becq, Xun Xiao, Peixi Liu, Liangping Li, Yan Song, Di Zhang,[...]. Gut 2019
218
14

Key challenges for delivering clinical impact with artificial intelligence.
Christopher J Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, Dominic King. BMC Med 2019
172
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

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
13

International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S Corrado, Ara Darzi,[...]. Nature 2020
316
13

CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.
David Moher, Sally Hopewell, Kenneth F Schulz, Victor Montori, Peter C Gøtzsche, P J Devereaux, Diana Elbourne, Matthias Egger, Douglas G Altman. BMJ 2010
11

Dissecting racial bias in an algorithm used to manage the health of populations.
Ziad Obermeyer, Brian Powers, Christine Vogeli, Sendhil Mullainathan. Science 2019
380
11

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.
Samantha Cruz Rivera, Xiaoxuan Liu, An-Wen Chan, Alastair K Denniston, Melanie J Calvert. Lancet Digit Health 2020
22
40

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.
Beau Norgeot, Giorgio Quer, Brett K Beaulieu-Jones, Ali Torkamani, Raquel Dias, Milena Gianfrancesco, Rima Arnaout, Isaac S Kohane, Suchi Saria, Eric Topol,[...]. Nat Med 2020
39
20

Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.
Pu Wang, Xiaogang Liu, Tyler M Berzin, Jeremy R Glissen Brown, Peixi Liu, Chao Zhou, Lei Lei, Liangping Li, Zhenzhen Guo, Shan Lei,[...]. Lancet Gastroenterol Hepatol 2020
88
9

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
393
9

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
129
9

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
95
7

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies.
Livia Faes, Xiaoxuan Liu, Siegfried K Wagner, Dun Jack Fu, Konstantinos Balaskas, Dawn A Sim, Lucas M Bachmann, Pearse A Keane, Alastair K Denniston. Transl Vis Sci Technol 2020
30
20

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
240
7

The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database.
Stan Benjamens, Pranavsingh Dhunnoo, Bertalan Meskó. NPJ Digit Med 2020
68
8

Machine Learning and Health Care Disparities in Dermatology.
Adewole S Adamson, Avery Smith. JAMA Dermatol 2018
86
7

Artificial intelligence in radiology.
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts. Nat Rev Cancer 2018
501
7

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.
Sebastian Vollmer, Bilal A Mateen, Gergo Bohner, Franz J Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S L McAllister, Puja Myles,[...]. BMJ 2020
61
9

Adversarial attacks on medical machine learning.
Samuel G Finlayson, John D Bowers, Joichi Ito, Jonathan L Zittrain, Andrew L Beam, Isaac S Kohane. Science 2019
93
7

Artificial intelligence, bias and clinical safety.
Robert Challen, Joshua Denny, Martin Pitt, Luke Gompels, Tom Edwards, Krasimira Tsaneva-Atanasova. BMJ Qual Saf 2019
121
7

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.
Tina Hernandez-Boussard, Selen Bozkurt, John P A Ioannidis, Nigam H Shah. J Am Med Inform Assoc 2020
25
24

Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board.
David A Bluemke, Linda Moy, Miriam A Bredella, Birgit B Ertl-Wagner, Kathryn J Fowler, Vicky J Goh, Elkan F Halpern, Christopher P Hess, Mark L Schiebler, Clifford R Weiss. Radiology 2020
76
7


With an eye to AI and autonomous diagnosis.
Pearse A Keane, Eric J Topol. NPJ Digit Med 2018
58
8

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.
Todd C Hollon, Balaji Pandian, Arjun R Adapa, Esteban Urias, Akshay V Save, Siri Sahib S Khalsa, Daniel G Eichberg, Randy S D'Amico, Zia U Farooq, Spencer Lewis,[...]. Nat Med 2020
103
6

Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study.
Yuichi Mori, Shin-Ei Kudo, Masashi Misawa, Yutaka Saito, Hiroaki Ikematsu, Kinichi Hotta, Kazuo Ohtsuka, Fumihiko Urushibara, Shinichi Kataoka, Yushi Ogawa,[...]. Ann Intern Med 2018
170
6

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.
John R Zech, Marcus A Badgeley, Manway Liu, Anthony B Costa, Joseph J Titano, Eric Karl Oermann. PLoS Med 2018
215
6


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
628
6

Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
Nicolas Coudray, Paolo Santiago Ocampo, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, David Fenyö, Andre L Moreira, Narges Razavian, Aristotelis Tsirigos. Nat Med 2018
500
6

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.
Diego Ardila, Atilla P Kiraly, Sujeeth Bharadwaj, Bokyung Choi, Joshua J Reicher, Lily Peng, Daniel Tse, Mozziyar Etemadi, Wenxing Ye, Greg Corrado,[...]. Nat Med 2019
327
6

Implementing Machine Learning in Health Care - Addressing Ethical Challenges.
Danton S Char, Nigam H Shah, David Magnus. N Engl J Med 2018
238
6

Human-computer collaboration for skin cancer recognition.
Philipp Tschandl, Christoph Rinner, Zoe Apalla, Giuseppe Argenziano, Noel Codella, Allan Halpern, Monika Janda, Aimilios Lallas, Caterina Longo, Josep Malvehy,[...]. Nat Med 2020
74
6

STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies.
Patrick M Bossuyt, Johannes B Reitsma, David E Bruns, Constantine A Gatsonis, Paul P Glasziou, Les Irwig, Jeroen G Lijmer, David Moher, Drummond Rennie, Henrica C W de Vet,[...]. BMJ 2015
6


Radiomics: the bridge between medical imaging and personalized medicine.
Philippe Lambin, Ralph T H Leijenaar, Timo M Deist, Jurgen Peerlings, Evelyn E C de Jong, Janita van Timmeren, Sebastian Sanduleanu, Ruben T H M Larue, Aniek J G Even, Arthur Jochems,[...]. Nat Rev Clin Oncol 2017
6

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
6

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
553
6


Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.
Michael Phillips, Helen Marsden, Wayne Jaffe, Rubeta N Matin, Gorav N Wali, Jack Greenhalgh, Emily McGrath, Rob James, Evmorfia Ladoyanni, Anthony Bewley,[...]. JAMA Netw Open 2019
31
12


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.