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This article discusses the challenges and potential of integrating machine learning models into clinical practice for medical image analysis and precision medicine. It also introduces a Special Issue that will cover state-of-the-art algorithms and applications in this field. Topics of interest include multimodal training, data harmonization, and explainability and reliability requirements. Manuscripts can be submitted online for peer-review and accepted papers will be published in the journal.