Advancing Predictive Models for Anastomotic Leakage in Esophageal Cancer Surgery: Opportunities for Enhancing Machine Learning Performance and Clinical Utility

Ejaz Ul Haq; Qin Yong; Zhou Yuan

doi:10.1016/j.acra.2025.04.003

Advancing Predictive Models for Anastomotic Leakage in Esophageal Cancer Surgery: Opportunities for Enhancing Machine Learning Performance and Clinical Utility

Ejaz Ul Haq
, Qin Yong^*
, Zhou Yuan

^*Corresponding author for this work

SDAIA-KFUPM Joint Research Center for Artificial Intelligence

Research output: Contribution to journal › Letter › peer-review

Original language	English
Pages (from-to)	3772
Number of pages	1
Journal	Academic Radiology
Volume	32
Issue number	6
DOIs	https://doi.org/10.1016/j.acra.2025.04.003
State	Published - Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

Access to Document

10.1016/j.acra.2025.04.003

Cite this

@article{b9cebec8670c423a8aa313ebecf6f6de,

title = "Advancing Predictive Models for Anastomotic Leakage in Esophageal Cancer Surgery: Opportunities for Enhancing Machine Learning Performance and Clinical Utility",

author = "Haq, \{Ejaz Ul\} and Qin Yong and Zhou Yuan",

year = "2025",

month = jun,

doi = "10.1016/j.acra.2025.04.003",

language = "English",

volume = "32",

pages = "3772",

journal = "Academic Radiology",

issn = "1076-6332",

publisher = "Elsevier Inc.",

number = "6",

}

TY - JOUR

T1 - Advancing Predictive Models for Anastomotic Leakage in Esophageal Cancer Surgery

T2 - Opportunities for Enhancing Machine Learning Performance and Clinical Utility

AU - Haq, Ejaz Ul

AU - Yong, Qin

AU - Yuan, Zhou

PY - 2025/6

Y1 - 2025/6

UR - https://www.scopus.com/pages/publications/105005363151

U2 - 10.1016/j.acra.2025.04.003

DO - 10.1016/j.acra.2025.04.003

M3 - Letter

C2 - 40274518

AN - SCOPUS:105005363151

SN - 1076-6332

VL - 32

SP - 3772

JO - Academic Radiology

JF - Academic Radiology

IS - 6

ER -