Prediction of Subclinical and Clinical Multiple Organ Failure Dysfunction in Breast Cancer Patients—A Review Using AI Tools

Prediction of Subclinical and Clinical Multiple Organ Failure Dysfunction in Breast Cancer Patients—A Review Using AI Tools

This review explores the interconnection between precursor lesions of breast cancer (typical ductal hyperplasia, atypical ductal/lobular hyperplasia) and the subclinical of multiple organ failure syndrome, both representing early stages marked by alterations preceding clinical symptoms, undetectable...

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Bibliographic Details
Main Authors: Andreea-Iuliana Ionescu (Miron), Dimitrie-Ionut Atasiei, Radu-Tudor Ionescu, Flavia Ultimescu, Andrei-Alexandru Barnonschi, Alexandra-Valentina Anghel, Cătălin-Alexandru Anghel, Ionuț-Lucian Antone-Iordache, Ruxandra Mitre, Alexandra Maria Bobolocu, Andreea Zamfir, Horia-Dan Lișcu, Simona Coniac, Florica Șandru
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Cancers
Subjects:
breast cancer
multiple organ failure syndrome
subclinical multiple organ failure
artificial intelligence
quality of life
Online Access:https://www.mdpi.com/2072-6694/16/2/381

Internet

https://www.mdpi.com/2072-6694/16/2/381

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