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

Year Number of Results
1954 1
1957 2
1962 2
1964 4
1965 3
1966 2
1967 1
1968 2
1969 2
1970 3
1971 1
1972 5
1973 1
1974 4
1975 8
1976 6
1977 3
1978 4
1979 6
1980 12
1981 4
1982 10
1983 11
1984 8
1985 10
1986 11
1987 11
1988 11
1989 19
1990 21
1991 24
1992 27
1993 41
1994 36
1995 53
1996 55
1997 57
1998 55
1999 66
2000 105
2001 125
2002 148
2003 170
2004 244
2005 312
2006 411
2007 512
2008 611
2009 709
2010 831
2011 1295
2012 1660
2013 2136
2014 2666
2015 3610
2016 4364
2017 6002
2018 9649
2019 14765
2020 22096
2021 32311
2022 41300
2023 45596
2024 54678
2025 74595
2026 53506
2027 5
2028 1

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340,885 results

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Page 1
Introduction to Machine Learning, Neural Networks, and Deep Learning.
Choi RY, Coyner AS, Kalpathy-Cramer J, Chiang MF, Campbell JP. Choi RY, et al. Transl Vis Sci Technol. 2020 Feb 27;9(2):14. doi: 10.1167/tvst.9.2.14. Transl Vis Sci Technol. 2020. PMID: 32704420 Free PMC article.
PURPOSE: To present an overview of current machine learning methods and their use in medical research, focusing on select machine learning techniques, best practices, and deep learning. METHODS: A systematic literature search in PubMed wa …
PURPOSE: To present an overview of current machine learning methods and their use in medical research, focusing on select m …
Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P. Gupta R, et al. Mol Divers. 2021 Aug;25(3):1315-1360. doi: 10.1007/s11030-021-10217-3. Epub 2021 Apr 12. Mol Divers. 2021. PMID: 33844136 Free PMC article. Review.
Artificial intelligence is referred to as superset comprising machine learning, whereas machine learning comprises supervised learning, unsupervised learning, and reinforcement learning. Further, deep learning, a subs …
Artificial intelligence is referred to as superset comprising machine learning, whereas machine learning compris …
Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review.
Theodore Armand TP, Nfor KA, Kim JI, Kim HC. Theodore Armand TP, et al. Nutrients. 2024 Apr 6;16(7):1073. doi: 10.3390/nu16071073. Nutrients. 2024. PMID: 38613106 Free PMC article.
This study aims to comprehensively investigate the current landscape of AI in nutrition, providing a deep understanding of the potential of AI, machine learning (ML), and deep learning (DL) in nutrition sciences and highlighting eventual challen …
This study aims to comprehensively investigate the current landscape of AI in nutrition, providing a deep understanding of the potent …
Review of machine learning and deep learning models for toxicity prediction.
Guo W, Liu J, Dong F, Song M, Li Z, Khan MKH, Patterson TA, Hong H. Guo W, et al. Exp Biol Med (Maywood). 2023 Nov;248(21):1952-1973. doi: 10.1177/15353702231209421. Epub 2023 Dec 6. Exp Biol Med (Maywood). 2023. PMID: 38057999 Free PMC article. Review.
This review summarizes the machine learning- and deep learning-based toxicity prediction models developed in recent years. ...The quality of datasets used in the development of toxicity prediction models using machine learning and deep …
This review summarizes the machine learning- and deep learning-based toxicity prediction models developed in rec …
Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician.
Theodosiou AA, Read RC. Theodosiou AA, et al. J Infect. 2023 Oct;87(4):287-294. doi: 10.1016/j.jinf.2023.07.006. Epub 2023 Jul 17. J Infect. 2023. PMID: 37468046 Free article. Review.
BACKGROUND: Artificial intelligence (AI), machine learning and deep learning (including generative AI) are increasingly being investigated in the context of research and management of human infection. ...
BACKGROUND: Artificial intelligence (AI), machine learning and deep learning (including generative AI) are incre …
Machine-learning methods for ligand-protein molecular docking.
Crampon K, Giorkallos A, Deldossi M, Baud S, Steffenel LA. Crampon K, et al. Drug Discov Today. 2022 Jan;27(1):151-164. doi: 10.1016/j.drudis.2021.09.007. Epub 2021 Sep 21. Drug Discov Today. 2022. PMID: 34560276 Review.
In this review, we provide an overview of ligand-protein molecular docking and how machine learning (ML), especially deep learning (DL), a subset of ML, is transforming the field by tackling the associated challenges....
In this review, we provide an overview of ligand-protein molecular docking and how machine learning (ML), especially deep …
Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies.
Pan D, Guo Y, Fan Y, Wan H. Pan D, et al. Am J Chin Med. 2024;52(3):605-623. doi: 10.1142/S0192415X24500265. Epub 2024 May 8. Am J Chin Med. 2024. PMID: 38715181 Review.
The application and advancement of TCM are, however, constrained by the absence of objective measuring standards due to its relatively abstract diagnostic methods and syndrome differentiation theories. Ongoing developments in machine learning (ML) and deep …
The application and advancement of TCM are, however, constrained by the absence of objective measuring standards due to its relatively abstr …
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
Poirion OB, Jing Z, Chaudhary K, Huang S, Garmire LX. Poirion OB, et al. Genome Med. 2021 Jul 14;13(1):112. doi: 10.1186/s13073-021-00930-x. Genome Med. 2021. PMID: 34261540 Free PMC article.
We introduce DeepProg, a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data. ...
We introduce DeepProg, a novel ensemble framework of deep-learning and machine-learning approaches that robustly …
Machine learning and deep learning for brain tumor MRI image segmentation.
Khan MKH, Guo W, Liu J, Dong F, Li Z, Patterson TA, Hong H. Khan MKH, et al. Exp Biol Med (Maywood). 2023 Nov;248(21):1974-1992. doi: 10.1177/15353702231214259. Epub 2023 Dec 16. Exp Biol Med (Maywood). 2023. PMID: 38102956 Free PMC article. Review.
Magnetic resonance imaging (MRI) is a commonly used imaging technique for capturing brain images. Both machine learning and deep learning techniques are popular in analyzing MRI images. This article reviews some commonly used machine learning …
Magnetic resonance imaging (MRI) is a commonly used imaging technique for capturing brain images. Both machine learning and …
340,885 results
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