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

Year Number of Results
1957 1
1962 1
1964 4
1965 1
1966 2
1967 1
1968 2
1969 2
1970 1
1972 1
1973 1
1974 2
1975 3
1976 3
1978 2
1979 1
1980 3
1981 1
1982 3
1983 3
1984 3
1985 4
1986 6
1987 3
1988 7
1989 7
1990 7
1991 12
1992 15
1993 22
1994 24
1995 32
1996 30
1997 33
1998 30
1999 34
2000 57
2001 81
2002 97
2003 120
2004 183
2005 247
2006 322
2007 409
2008 498
2009 595
2010 713
2011 1137
2012 1485
2013 1921
2014 2404
2015 3274
2016 3886
2017 5218
2018 8217
2019 12157
2020 15674
2021 1105
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53,855 results
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Page 1
Machine Learning in Medicine.
Deo RC. Deo RC. Circulation. 2015 Nov 17;132(20):1920-30. doi: 10.1161/CIRCULATIONAHA.115.001593. Circulation. 2015. PMID: 26572668 Free PMC article. Review.
The purpose of this review is to explore what problems in medicine might benefit from such learning approaches and use examples from the literature to introduce basic concepts in machine learning. It is important to note that seemingly large enough medical da …
The purpose of this review is to explore what problems in medicine might benefit from such learning approaches and use examples from …
Machine learning applications in epilepsy.
Abbasi B, Goldenholz DM. Abbasi B, et al. Epilepsia. 2019 Oct;60(10):2037-2047. doi: 10.1111/epi.16333. Epub 2019 Sep 3. Epilepsia. 2019. PMID: 31478577 Review.
Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recognition, language processing …
Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance …
How Machine Learning Will Transform Biomedicine.
Goecks J, Jalili V, Heiser LM, Gray JW. Goecks J, et al. Cell. 2020 Apr 2;181(1):92-101. doi: 10.1016/j.cell.2020.03.022. Cell. 2020. PMID: 32243801 Review.
This Perspective explores the application of machine learning toward improved diagnosis and treatment. We outline a vision for how machine learning can transform three broad areas of biomedicine: clinical diagnostics, precision treatments, and health m …
This Perspective explores the application of machine learning toward improved diagnosis and treatment. We outline a vision for …
Artificial Intelligence and Machine Learning in Anesthesiology.
Connor CW. Connor CW. Anesthesiology. 2019 Dec;131(6):1346-1359. doi: 10.1097/ALN.0000000000002694. Anesthesiology. 2019. PMID: 30973516 Free PMC article. Review.
Commercial applications of artificial intelligence and machine learning have made remarkable progress recently, particularly in areas such as image recognition, natural speech processing, language translation, textual analysis, and self-learning. ...Relevant …
Commercial applications of artificial intelligence and machine learning have made remarkable progress recently, particularly i …
A review of machine learning in obesity.
DeGregory KW, Kuiper P, DeSilvio T, Pleuss JD, Miller R, Roginski JW, Fisher CB, Harness D, Viswanath S, Heymsfield SB, Dungan I, Thomas DM. DeGregory KW, et al. Obes Rev. 2018 May;19(5):668-685. doi: 10.1111/obr.12667. Epub 2018 Feb 9. Obes Rev. 2018. PMID: 29426065 Review.
Here, we review machine learning methods that predict and/or classify such as linear and logistic regression, artificial neural networks, deep learning and decision tree analysis. ...The strengths and limitations of each method were also evaluated. This summa …
Here, we review machine learning methods that predict and/or classify such as linear and logistic regression, artificial neura …
Machine learning approaches for pathologic diagnosis.
Komura D, Ishikawa S. Komura D, et al. Virchows Arch. 2019 Aug;475(2):131-138. doi: 10.1007/s00428-019-02594-w. Epub 2019 Jun 20. Virchows Arch. 2019. PMID: 31222375 Review.
However, pathological images differ from general images in some aspects, and thus, machine learning of histopathological images requires specialized learning methods. ...In this review, we first introduce various applications incorporating machine l …
However, pathological images differ from general images in some aspects, and thus, machine learning of histopathological image …
eDoctor: machine learning and the future of medicine.
Handelman GS, Kok HK, Chandra RV, Razavi AH, Lee MJ, Asadi H. Handelman GS, et al. J Intern Med. 2018 Dec;284(6):603-619. doi: 10.1111/joim.12822. Epub 2018 Sep 3. J Intern Med. 2018. PMID: 30102808 Free article. Review.
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems. ...
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statist …
Machine learning in heart failure: ready for prime time.
Awan SE, Sohel F, Sanfilippo FM, Bennamoun M, Dwivedi G. Awan SE, et al. Curr Opin Cardiol. 2018 Mar;33(2):190-195. doi: 10.1097/HCO.0000000000000491. Curr Opin Cardiol. 2018. PMID: 29194052 Review.
Recently developed deep learning methods are expected to yield even better performance than traditional machine learning techniques in performing complex tasks by learning the intricate patterns hidden in big medical data. SUMMARY: The review summarize …
Recently developed deep learning methods are expected to yield even better performance than traditional machine learning …
What is Machine Learning? A Primer for the Epidemiologist.
Bi Q, Goodman KE, Kaminsky J, Lessler J. Bi Q, et al. Am J Epidemiol. 2019 Dec 31;188(12):2222-2239. doi: 10.1093/aje/kwz189. Am J Epidemiol. 2019. PMID: 31509183
We provide a brief introduction to 5 common machine learning algorithms and 4 ensemble-based approaches. We then summarize epidemiologic applications of machine learning techniques in the published literature. We recommend approaches to incorporate …
We provide a brief introduction to 5 common machine learning algorithms and 4 ensemble-based approaches. We then summarize epi …
Machine learning in laboratory medicine: waiting for the flood?
Cabitza F, Banfi G. Cabitza F, et al. Clin Chem Lab Med. 2018 Mar 28;56(4):516-524. doi: 10.1515/cclm-2017-0287. Clin Chem Lab Med. 2018. PMID: 29055936 Free article. Review.
This review focuses on machine learning and on how methods and models combining data analytics and artificial intelligence have been applied to laboratory medicine so far. Although still in its infancy, the potential for applying machine learning to la …
This review focuses on machine learning and on how methods and models combining data analytics and artificial intelligence hav …
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