Important Warnings and Cautions

Important Warning

Although this book is produced and updated by AI, it is not a substitute for clinical judgment. All information must be interpreted in the context of current practice, patient-specific factors, local guidelines, and professional expertise.

• Recommendations may change as new data emerge.
• Guidelines differ between regions and organizations.
• AI-generated content, while systematically curated, may contain errors or omissions.

The responsibility for clinical decisions remains entirely with the healthcare professional using the information. This book is designed to support—not replace—expertise.

General Warning

Use of Artificial Intelligence (AI) tools in medical data search, analysis, or clinical decision-making must always be performed with qualified human oversight.

AI results may be incomplete, outdated, or biased and should never replace professional medical judgement.

Always verify information through trusted clinical sources, peer-reviewed literature, and official guidelines.

Key Risks

• Data or algorithmic bias
• Incomplete or misleading output
• Privacy and data-protection issues
• Lack of explainability or audit trail

Main Guidelines & Regulations

European Union

• EU Artificial Intelligence Act (2024/1689) — defines high-risk AI in healthcare, requiring transparency, human oversight, and safety controls.
• GDPR – General Data Protection Regulation — governs protection of personal and health data.
• EU Medical Device Regulation (MDR) — applies when AI functions as part of a medical device or diagnostic system.

United States

• FDA AI/ML-Based SaMD Action Plan — framework for regulation of AI software as medical devices.
• HIPAA – Health Insurance Portability and Accountability Act — privacy and security standards for handling medical data.

International / Best Practice

• FUTURE-AI Guidelines — principles for trustworthy medical AI: Fairness, Universality, Traceability, Usability, Robustness, Explainability.
• WHO Guidance on Ethics & Governance of AI for Health — promotes human control, safety, and equity in medical AI use.

In Practice

For educational or clinical AI use (e.g., vascular-surgery data search):

• Always disclose AI involvement and data sources.
• Have human experts verify and curate outputs.
• Protect patient privacy (GDPR/HIPAA).
• Use only peer-reviewed or official medical references.
• The editors and their institutes take no responsibility for use of the information provided in this book.