Ethical Considerations for the Use of Artificial Intelligence Tools in Surgery

Area of Science:

• Medical Ethics
• Surgical Innovation
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is increasingly used in surgical diagnostics, planning, and guidance.
• The integration of AI in surgery presents significant ethical challenges.
• Understanding these challenges is vital for responsible AI implementation.

Purpose of the Study:

• To explore the ethical implications of AI in surgery.
• To analyze AI's impact through the principles of autonomy, beneficence, nonmaleficence, and justice.
• To highlight the need for frameworks ensuring ethical AI use in surgical practice.

Main Methods:

• Ethical analysis of AI in surgery using foundational medical ethics principles.
• Review of AI's impact on patient autonomy, informed consent, and the patient-clinician relationship.
• Examination of AI-related risks including data bias, errors, and accountability.

Main Results:

• Lack of understanding of AI tools by patients and clinicians hinders informed consent and trust.
• AI can enhance beneficence but risks nonmaleficence due to data bias and potential errors.
• Biased AI can worsen health disparities, and unclear liability for AI errors creates ethical concerns.

Conclusions:

• Ethical integration of AI in surgery requires robust frameworks.
• Key measures include transparency, data integrity, clinician/patient education, and regulatory oversight.
• Safeguarding patient welfare is paramount as AI transforms surgical care.