Demystifying machine learning in endourology – understanding models, applications, and clinical impact: a review from EAU endourology

Chady Ghnatios; Rose Mary Attieh; Frederic Panthier

doi:10.1097/mou.0000000000001348

Demystifying machine learning in endourology – understanding models, applications, and clinical impact: a review from EAU endourology

Chady Ghnatios
, Rose Mary Attieh
, Frederic Panthier

School of Engineering

Center for the Science of Health Care Delivery

Research output: Contribution to journal › Review article › peer-review

Original language	English
Pages (from-to)	66-71
Number of pages	6
Journal	Current Opinion in Urology
Volume	36
Issue number	1
DOIs	https://doi.org/10.1097/mou.0000000000001348
State	Published - Jan 2026

Keywords

Algorithms
Artificial Intelligence
Clinical Decision-Making/methods
Humans
Machine Learning
Urologic Diseases/diagnosis
Urology/methods

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10.1097/mou.0000000000001348

Cite this

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title = "Demystifying machine learning in endourology – understanding models, applications, and clinical impact: a review from EAU endourology",

keywords = "Algorithms, Artificial Intelligence, Clinical Decision-Making/methods, Humans, Machine Learning, Urologic Diseases/diagnosis, Urology/methods",

author = "Chady Ghnatios and Attieh, \{Rose Mary\} and Frederic Panthier",

year = "2026",

month = jan,

doi = "10.1097/mou.0000000000001348",

language = "English",

volume = "36",

pages = "66--71",

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AU - Panthier, Frederic

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KW - Clinical Decision-Making/methods

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KW - Machine Learning

KW - Urologic Diseases/diagnosis

KW - Urology/methods

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M3 - Review article

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JO - Current Opinion in Urology

JF - Current Opinion in Urology

IS - 1

ER -

Demystifying machine learning in endourology – understanding models, applications, and clinical impact: a review from EAU endourology

Keywords

Access to Document

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