Abstract
Although artificial intelligence (AI) is a valuable tool, intelligent technologies in orthopedics also present potential risks and ethical issues that must be considered. Accuracy and reliability of algorithms and systems must be ensured to mitigate the risk of misinterpretation ultimately leading to incorrect diagnoses and outcomes. Bias and discrimination in AI algorithms need to be identified and addressed for fair treatment of all patients. Protection of patient data privacy and security is crucial, requiring robust measures to prevent unauthorized access or misuse. Accountability and liability frameworks should be established to determine responsibility in case of errors or adverse events. By addressing these potential risks and ethical issues, intelligent technologies can be responsibly integrated into orthopedic practice, improving patient care and outcomes.
| Original language | English (US) |
|---|---|
| Title of host publication | Artificial Intelligence in Orthopaedic Surgery Made Easy |
| Publisher | Springer Nature |
| Pages | 205-211 |
| Number of pages | 7 |
| ISBN (Electronic) | 9783031703102 |
| ISBN (Print) | 9783031703096 |
| DOIs | |
| State | Published - Jan 1 2024 |
Bibliographical note
Publisher Copyright:© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- Artificial intelligence
- Deep learning
- Machine learning
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