Can machine learned algorithms further illuminate intracoronary imaging in PCI and improve the human touch?

Thomas W Johnson; Peter D O'Kane

doi:10.4244/EIJV17I1A3

Can machine learned algorithms further illuminate intracoronary imaging in PCI and improve the human touch?

Thomas W Johnson, Peter D O'Kane

Bristol Medical School (THS)

Research output: Contribution to journal › Article (Academic Journal) › peer-review

4 Citations (Scopus)

Original language	English
Pages (from-to)	18-19
Number of pages	2
Journal	EuroIntervention
Volume	17
Issue number	1
DOIs	https://doi.org/10.4244/EIJV17I1A3
Publication status	Published - 17 May 2021

Keywords

Algorithms
Angioplasty, Balloon, Coronary
Humans
Myocardial Infarction
Percutaneous Coronary Intervention
Touch
Treatment Outcome

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10.4244/EIJV17I1A3

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Cite this

@article{a7540c4a9c114ff5a52c581e24817c8f,

title = "Can machine learned algorithms further illuminate intracoronary imaging in PCI and improve the human touch?",

keywords = "Algorithms, Angioplasty, Balloon, Coronary, Humans, Myocardial Infarction, Percutaneous Coronary Intervention, Touch, Treatment Outcome",

author = "Johnson, \{Thomas W\} and O'Kane, \{Peter D\}",

year = "2021",

month = may,

day = "17",

doi = "10.4244/EIJV17I1A3",

language = "English",

volume = "17",

pages = "18--19",

journal = "EuroIntervention",

issn = "1774-024X",