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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges
4
Zitationen
4
Autoren
2025
Jahr
Abstract
Given the unique nature of medical AI, our findings highlight the field's potential and remaining challenges. ML will continue to advance cancer research and provide opportunities for patient-centric, personalized, and efficient precision oncology. Yet, the field must move beyond hype and toward concrete efforts to overcome key obstacles, such as ensuring access to molecular data, establishing clinical utility, developing guidelines and regulations, and meaningfully addressing ethical challenges.
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