Hybrid Classic-Quantum Computing for Staging of Invasive Ductal Carcinoma of Breast

TL;DR

This paper explores a hybrid classical-quantum approach to improve the staging process of invasive ductal carcinoma of the breast, integrating quantum computing techniques with traditional medical reasoning.

Contribution

It introduces a novel hybrid quantum-classical framework for cancer staging, combining quantum rule-based systems with established clinical methods.

Findings

Quantum system successfully applied to multiple use cases

Potential for improved accuracy in cancer staging

Provides a conceptual model for quantum medical reasoning

Abstract

Despite the great current relevance of Artificial Intelligence, and the extraordinary innovations that this discipline has brought to many fields -among which, without a doubt, medicine is found-, experts in medical applications of Artificial Intelligence are looking for new alternatives to solve problems for which current Artificial Intelligence programs do not provide with optimal solutions. For this, one promising option could be the use of the concepts and ideas of Quantum Mechanics, for the construction of quantum-based Artificial Intelligence systems. From a hybrid classical-quantum perspective, this article deals with the application of quantum computing techniques for the staging of Invasive Ductal Carcinoma of the breast. It includes: (1) a general explanation of a classical, and well-established, approach for medical reasoning, (2) a description of the clinical problem, (3) a conceptual model for staging invasive ductal carcinoma, (4) some basic notions about Quantum Rule-Based Systems, (5) a step-by-step explanation of the proposed approach for quantum staging of the invasive ductal carcinoma, and (6) the results obtained after running the quantum system on a significant number of use cases. A detailed discussion is also provided at the end of this paper.