Machine Learning for Anastomotic Leak Prediction in Colorectal Surgery—Between Validation and Clinical Implementation

Authors

Kamacay Cira (ORCID: https://orcid.org/0000-0002-2026-2978)
Philipp-Alexander Neumann

Institutions

TUM Klinikum (DE)
University of Chicago (US)

Publication Details

Journal: JAMA Network Open
Published: 2025-10-20
DOI: https://doi.org/10.1001/jamanetworkopen.2025.38274
Primary Topic: Colorectal Cancer Surgical Treatments
Type: article
Field-Weighted Citation Impact: 0.00

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article

Machine Learning for Anastomotic Leak Prediction in Colorectal Surgery—Between Validation and Clinical Implementation

Kamacay Cira, Philipp-Alexander Neumann

Oct 20, 2025

JAMA Network Open

Colorectal Cancer Surgical Treatments

article

Machine Learning for Anastomotic Leak Prediction in Colorectal Surgery—Between Validation and Clinical Implementation

Kamacay Cira, Philipp-Alexander Neumann

October 20, 2025article en

Abstract

No abstract available for this paper.

JAMA Network OpenVol. 8(10)

TUM Klinikum (DE), University of Chicago (US)

Openalex Percentile: Top 60%

Colorectal Cancer Surgical Treatments

DOI Open Access PDF OpenAlex

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Machine Learning for Anastomotic Leak Prediction in Colorectal Surgery—Between Validation and Clinical Implementation — Kamacay Cira, Philipp-Alexander Neumann · JAMA Network Open (2025) | TGRS Research Map | TGRS