Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers

Author:

Hope Andrew,Verduin Maikel,Dilling Thomas JORCID,Choudhury Ananya,Fijten RianneORCID,Wee LeonardORCID,Aerts Hugo JWLORCID,El Naqa Issam,Mitchell Ross,Vooijs Marc,Dekker Andre,de Ruysscher Dirk,Traverso Alberto

Abstract

Locally advanced non-small cell lung cancer patients represent around one third of newly diagnosed lung cancer patients. There remains a large unmet need to find treatment strategies that can improve the survival of these patients while minimizing therapeutical side effects. Increasing the availability of patients’ data (imaging, electronic health records, patients’ reported outcomes, and genomics) will enable the application of AI algorithms to improve therapy selections. In this review, we discuss how artificial intelligence (AI) can be integral to improving clinical decision support systems. To realize this, a roadmap for AI must be defined. We define six milestones involving a broad spectrum of stakeholders, from physicians to patients, that we feel are necessary for an optimal transition of AI into the clinic.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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