Current and future applications of artificial intelligence in surgery: implications for clinical practice and research

Current and future applications of artificial intelligence in surgery: implications for clinical practice and research

09 May 2024 | Miranda X. Morris, Davide Fiocco, Tommaso Caneva, Paris Yiapanis and Dennis P. Orgill
The article "Current and Future Applications of Artificial Intelligence in Surgery: Implications for Clinical Practice and Research" by Miranda X. Morris, Davide Fiocco, Tommaso Caneva, Paris Yiapanis, and Dennis P. Orgill reviews the current and potential future applications of artificial intelligence (AI) in surgery. The authors highlight the potential of AI to enhance surgical training, decision-making, and scientific knowledge discovery. They discuss how AI-driven personalized training modules can improve learning experiences and skills assessment, and how AI analytics can provide objective feedback to surgeons. The article also explores the use of AI in intraoperative imaging, including real-time image segmentation and augmented reality, which have significantly improved surgical precision and efficiency. Additionally, the authors address the ethical implications of AI in surgery, emphasizing the need for transparency, accountability, and patient privacy. They conclude by emphasizing the importance of a balanced approach to integrating AI in surgery, ensuring that it enhances patient care while maintaining ethical standards and human oversight.The article "Current and Future Applications of Artificial Intelligence in Surgery: Implications for Clinical Practice and Research" by Miranda X. Morris, Davide Fiocco, Tommaso Caneva, Paris Yiapanis, and Dennis P. Orgill reviews the current and potential future applications of artificial intelligence (AI) in surgery. The authors highlight the potential of AI to enhance surgical training, decision-making, and scientific knowledge discovery. They discuss how AI-driven personalized training modules can improve learning experiences and skills assessment, and how AI analytics can provide objective feedback to surgeons. The article also explores the use of AI in intraoperative imaging, including real-time image segmentation and augmented reality, which have significantly improved surgical precision and efficiency. Additionally, the authors address the ethical implications of AI in surgery, emphasizing the need for transparency, accountability, and patient privacy. They conclude by emphasizing the importance of a balanced approach to integrating AI in surgery, ensuring that it enhances patient care while maintaining ethical standards and human oversight.
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