AI Law - International Review of Artificial Intelligence Law
G. Giappichelli Editore

30/06/2024 - Guiding Principles for AI in Oncology: American Society of Clinical Oncology's New Framework

argument: Notizie/News - Health Law

According to an article on ASCO Post, the American Society of Clinical Oncology (ASCO) has established six guiding principles to govern the integration of artificial intelligence (AI) in oncology. These principles aim to ensure that AI technologies are used ethically and effectively in cancer care.

  1. Patient-Centered Care: AI applications must prioritize patient outcomes and experiences. This principle emphasizes that AI should enhance, not replace, the human touch in patient care.

  2. Equity: AI systems must be designed and implemented to promote health equity. This includes addressing and mitigating any biases in AI algorithms that could exacerbate disparities in cancer care.

  3. Transparency: There must be transparency in AI development and deployment. Patients and providers should have access to clear information about how AI systems work, their data sources, and the rationale behind AI-generated recommendations.

  4. Safety and Efficacy: AI technologies must be rigorously tested to ensure they are safe and effective. This includes ongoing monitoring and validation of AI systems to maintain high standards of care.

  5. Collaboration: The development and use of AI in oncology should involve multidisciplinary collaboration. Oncologists, data scientists, ethicists, and patients should work together to guide AI initiatives.

  6. Education and Training: Healthcare providers must be adequately trained to use AI tools. Continuous education is essential to ensure that oncologists and other healthcare professionals can effectively integrate AI into their practice.

These principles were developed in response to the growing use of AI in oncology and the need for a structured approach to its integration. AI holds significant potential to improve cancer diagnosis, treatment, and patient outcomes, but it also poses challenges related to bias, transparency, and the need for proper training.

By adhering to these guiding principles, ASCO aims to maximize the benefits of AI in oncology while addressing its challenges and ensuring that patient care remains the top priority.