What question did this study set out to answer?

This work aims to explore the current and future applications of AI in oncology to enhance personalized care.

April 16, 2026Open Access

The role of AI in oncology: present applications and future horizons

Key Points

This work aims to explore the current and future applications of AI in oncology to enhance personalized care.
Discussed current applications of AI in biomarker-driven patient selection and drug design.
Analyzed the limitations and challenges of AI integration in healthcare.
Proposed a roadmap for future AI implementation in oncology.
Identified AI's role in predicting therapeutic responses and guiding drug selection.
Highlighted challenges like data bias and lack of regulatory oversight for AI in clinical settings.

Abstract

Artificial intelligence (AI) offers a powerful means to accelerate precision oncology by individualizing care in an era of rapidly evolving treatment paradigms. However, there is limited regulatory oversights for safe clinical implementation of AI, and concerns surrounding data bias, ownership, and privacy have hindered broad integration into healthcare practice. In this perspective, we offer a forward-looking roadmap for the dissemination of AI in oncology. We discuss the role for AI in guiding biomarker-driven patient selection for clinical trials and in facilitating both personalized drug selection and de novo drug design by the potential to predict therapeutic response. We highlight the capabilities, and current limitations, of AI to inform realistic pathways for practical implementation.

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