Based on Lancet Oncology, the article authored by Ghada Zakout from Erasmus University Rotterdam delves into the complex legal and ethical issues surrounding the use of artificial intelligence (AI) in the field of oncology. AI's integration into oncology offers transformative potential in cancer diagnosis, treatment planning, and patient management. However, it simultaneously raises significant ethical concerns and legal challenges. The article discusses how AI algorithms, while enhancing the precision and efficiency of oncological practices, also pose risks related to patient privacy, data protection, and the potential biases encoded within AI systems.

The legal landscape for AI in oncology is still evolving, with legislation struggling to keep pace with rapid technological advancements. This gap in regulation brings forth questions about liability in case of AI errors, the accountability of AI developers and healthcare providers, and the protection of patients' rights. Ethical challenges are also prominent, particularly regarding informed consent, the transparency of AI decision-making processes, and the equitable distribution of AI's benefits across diverse populations.

Ghada Zakout emphasizes the need for a robust legal framework that not only addresses these ethical dilemmas but also fosters innovation and trust in AI technologies. The article advocates for collaborative efforts among lawmakers, healthcare professionals, AI developers, and ethicists to establish guidelines that ensure the responsible use of AI in oncology. Such guidelines should prioritize patient welfare, uphold ethical standards, and adapt to the unique challenges posed by the integration of AI into medical practice.