A Surgeon's Guide to Machine Learning.

Machine learning (ML) represents a collection of advanced data modeling techniques beyond the traditional statistical models and tests with which most clinicians are familiar. While a subset of artificial intelligence, ML is far from the science fiction impression frequently associated with AI. At its most basic, ML is about pattern finding, sometimes with complex algorithms. The advanced mathematical modeling of ML is seeing expanding use throughout healthcare and increasingly in the day-to-day practice of surgeons. As with any new technique or technology, a basic understanding of principles, applications, and limitations are essential for appropriate implementation. This primer is intended to provide the surgical reader an accelerated introduction to applied ML and considerations in potential research applications or the review of publications, including ML techniques.

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Publication Details

Journal
UNC Libraries
Published
2025-06-21
DOI
https://doi.org/10.17615/5266-mv62
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

A Surgeon's Guide to Machine Learning.

Carly Eckert, Daniel Lammers, Muhammad Aurangzeb Ahmad, Jason Bingham et al.
UNC Libraries
Artificial Intelligence in Healthcare and Education
article

A Surgeon's Guide to Machine Learning.

Carly Eckert, Daniel Lammers, Muhammad Aurangzeb Ahmad, Jason Bingham, Matthew J. Eckert
article en

Abstract

Machine learning (ML) represents a collection of advanced data modeling techniques beyond the traditional statistical models and tests with which most clinicians are familiar. While a subset of artificial intelligence, ML is far from the science fiction impression frequently associated with AI. At its most basic, ML is about pattern finding, sometimes with complex algorithms. The advanced mathematical modeling of ML is seeing expanding use throughout healthcare and increasingly in the day-to-day practice of surgeons. As with any new technique or technology, a basic understanding of principles, applications, and limitations are essential for appropriate implementation. This primer is intended to provide the surgical reader an accelerated introduction to applied ML and considerations in potential research applications or the review of publications, including ML techniques.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Quality Education
Openalex Percentile: Top 84%
Artificial Intelligence in Healthcare and Education
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