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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1946 1
1952 1
1959 1
1962 35
1963 86
1964 2
1965 1
1967 3
1968 2
1970 2
1971 1
1972 3
1973 5
1974 2
1975 3
1976 3
1977 2
1978 3
1979 3
1980 8
1981 12
1982 14
1983 17
1984 25
1985 28
1986 36
1987 49
1988 54
1989 65
1990 72
1991 60
1992 60
1993 79
1994 95
1995 104
1996 113
1997 100
1998 113
1999 121
2000 129
2001 171
2002 178
2003 226
2004 315
2005 416
2006 510
2007 620
2008 735
2009 861
2010 956
2011 1163
2012 1301
2013 1743
2014 2127
2015 2718
2016 3398
2017 5081
2018 8766
2019 14327
2020 23048
2021 5463
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68,095 results
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Page 1
A guide to deep learning in healthcare.
Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S, Dean J. Esteva A, et al. Nat Med. 2019 Jan;25(1):24-29. doi: 10.1038/s41591-018-0316-z. Epub 2019 Jan 7. Nat Med. 2019. PMID: 30617335 Review.
Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. ...Sim …
Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in compute
Artificial intelligence and deep learning in ophthalmology.
Ting DSW, Pasquale LR, Peng L, Campbell JP, Lee AY, Raman R, Tan GSW, Schmetterer L, Keane PA, Wong TY. Ting DSW, et al. Br J Ophthalmol. 2019 Feb;103(2):167-175. doi: 10.1136/bjophthalmol-2018-313173. Epub 2018 Oct 25. Br J Ophthalmol. 2019. PMID: 30361278 Free PMC article. Review.
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only begin
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years.
Artificial Intelligence in Cardiology.
Johnson KW, Torres Soto J, Glicksberg BS, Shameer K, Miotto R, Ali M, Ashley E, Dudley JT. Johnson KW, et al. J Am Coll Cardiol. 2018 Jun 12;71(23):2668-2679. doi: 10.1016/j.jacc.2018.03.521. J Am Coll Cardiol. 2018. PMID: 29880128 Free article. Review.
Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial in
Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition,
Artificial intelligence in medical imaging of the liver.
Zhou LQ, Wang JY, Yu SY, Wu GG, Wei Q, Deng YB, Wu XL, Cui XW, Dietrich CF. Zhou LQ, et al. World J Gastroenterol. 2019 Feb 14;25(6):672-682. doi: 10.3748/wjg.v25.i6.672. World J Gastroenterol. 2019. PMID: 30783371 Free PMC article. Review.
Artificial intelligence (AI), particularly deep learning algorithms, is gaining extensive attention for its excellent performance in image-recognition tasks. ...Lastly, we discuss the challenges and future directions of clinical application of deep
Artificial intelligence (AI), particularly deep learning algorithms, is gaining extensive attention for its exce
Artificial Intelligence in Precision Cardiovascular Medicine.
Krittanawong C, Zhang H, Wang Z, Aydar M, Kitai T. Krittanawong C, et al. J Am Coll Cardiol. 2017 May 30;69(21):2657-2664. doi: 10.1016/j.jacc.2017.03.571. J Am Coll Cardiol. 2017. PMID: 28545640 Free article. Review.
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. ...Each problem requires some degree of understanding of the problem, in terms of cardiovascular medicine
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning
Deep learning: new computational modelling techniques for genomics.
Eraslan G, Avsec Ž, Gagneur J, Theis FJ. Eraslan G, et al. Nat Rev Genet. 2019 Jul;20(7):389-403. doi: 10.1038/s41576-019-0122-6. Nat Rev Genet. 2019. PMID: 30971806 Review.
As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requires more expressi …
As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biologic …
Artificial intelligence in healthcare: past, present and future.
Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, Wang Y, Dong Q, Shen H, Wang Y. Jiang F, et al. Stroke Vasc Neurol. 2017 Jun 21;2(4):230-243. doi: 10.1136/svn-2017-000101. eCollection 2017 Dec. Stroke Vasc Neurol. 2017. PMID: 29507784 Free PMC article. Review.
Artificial intelligence (AI) aims to mimic human cognitive functions. ...AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classi
Artificial intelligence (AI) aims to mimic human cognitive functions. ...AI can be applied to various types of healthcare data
Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.
Hashimoto DA, Witkowski E, Gao L, Meireles O, Rosman G. Hashimoto DA, et al. Anesthesiology. 2020 Feb;132(2):379-394. doi: 10.1097/ALN.0000000000002960. Anesthesiology. 2020. PMID: 31939856 Free PMC article. Review.
Artificial intelligence has been advancing in fields including anesthesiology. ...Based on papers identified in the review, several topics within artificial intelligence were described and summarized: (1) machine learning (including super
Artificial intelligence has been advancing in fields including anesthesiology. ...Based on papers identified in the review, se
Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.
Balyen L, Peto T. Balyen L, et al. Asia Pac J Ophthalmol (Phila). 2019 May-Jun;8(3):264-272. doi: 10.22608/APO.2018479. Epub 2019 May 31. Asia Pac J Ophthalmol (Phila). 2019. PMID: 31149787 Review.
The lifestyle of modern society has changed significantly with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent years. Artificial intelligence is a multidime …
The lifestyle of modern society has changed significantly with the emergence of artificial intelligence (AI), machine
Artificial intelligence in retina.
Schmidt-Erfurth U, Sadeghipour A, Gerendas BS, Waldstein SM, Bogunović H. Schmidt-Erfurth U, et al. Prog Retin Eye Res. 2018 Nov;67:1-29. doi: 10.1016/j.preteyeres.2018.07.004. Epub 2018 Aug 1. Prog Retin Eye Res. 2018. PMID: 30076935 Free article. Review.
Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in a comprehensive manner using artificial intelligence (AI). Methods based on machine learning (ML) and particularly deep learning (DL) a …
Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in a comprehensive manner using artif
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