Deep learning in cancer diagnosis, prognosis and treatment selection

🤖 Plain-English Summary

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning technique called artificial neural networks to extract patterns and make predictions from large data sets. We also assess the current limitations and challenges for the application of deep learning in precision oncology, including the lack of phenotypically rich data and the need for more explainable deep learning models.

🔑 Key Findings

• The increasing adoption of deep learning across healthcare domains together with the availability of highly characterised cancer datasets has accelerated research into the utility of deep learning in the analysis of the complex biology of cancer.
• While early results are promising, this is a rapidly evolving field with new knowledge emerging in both cancer biology and deep learning.
• In this review, we provide an overview of emerging deep learning techniques and how they are being applied to oncology.

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