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Ethical Considerations and Equipoise in Cancer Surgery
Mohammad Vakili-Ojarood1, Amirhosein Naseri2, Ahmad Shirinzadeh-Dastgiri3
1Department of Surgery, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
This study reviews ethical considerations in cancer surgery, focusing on artificial intelligence (AI) in oncological surgery. It highlights the need for ethical frameworks to guide AI integration and ensure patient-centered care.
Area of Science:
- Oncology
- Surgical Ethics
- Medical Technology Ethics
Background:
- Cancer surgery faces evolving ethical challenges due to technological advancements and global expansion.
- Key ethical issues include patient autonomy, informed consent, and the physician-patient relationship in the context of new technologies.
- Ethical decision-making in oncology, particularly concerning genetic predisposition to breast cancer, requires integrating patient values and treatment goals.
Purpose of the Study:
- To analyze scholarly works on ethical considerations and equipoise in oncological surgery.
- To specifically focus on the ethical implications of artificial intelligence (AI) in oncological surgery.
- To underscore the importance of ethical standards in surgical innovation.
Main Methods:
- Comprehensive review of existing scholarly literature on ethical considerations in oncological surgery.
- Focused analysis on the application and ethical implications of AI in oncological surgery.
- Examination of ethical principles related to technological advancements and global surgical practices.
Main Results:
- Technological advancements in cancer surgery necessitate careful ethical navigation.
- Artificial intelligence in robotic surgical training presents unique ethical challenges, including data protection and innovation boundaries.
- Global surgery expansion requires addressing ethical considerations to reduce access disparities.
Conclusions:
- Upholding ethical standards is crucial for progress in oncological surgery, especially with AI integration.
- Ethical frameworks are needed to address the complexities of AI in surgical innovation and patient care.
- Ensuring patient-centered care and fair access remains paramount amidst technological advancements in cancer surgery.
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