A brief review of practical use of artificial intelligence in surgery in the current era
Shubham Bobade, Sheetal Asutkar, Devesh Nagpure, Amar Kadav
- 发表年份
- 2024
- 引用次数
- 4
- 访问权限
- 开放获取
摘要
Artificial Intelligence (AI) is increasingly transforming the field of surgery by enhancing precision, improving patient outcomes, and optimizing surgical workflows. This article explores the practical applications of AI in contemporary surgical practices, including advancements in AI-assisted diagnostic tools, robotic surgery, predictive analytics, and decision-support systems. AI technologies, such as deep learning models and convolutional neural networks, have demonstrated significant improvements in diagnostic accuracy, particularly in medical imaging, pathology, and disease classification. Robotic surgical systems, augmented by AI, offer enhanced precision, control, and dexterity, leading to reduced complications, minimal invasive procedures, and faster recovery times for patients. Predictive analytics powered by AI aids in surgical planning and risk management by forecasting potential complications, personalizing treatment plans, and optimizing surgical outcomes based on patient-specific data. Decision-support systems provide real-time assistance during surgeries, analyzing live data from various sources to offer actionable insights, recommendations, and alerts, thereby enhancing surgical safety and efficiency. Despite these advancements, challenges remain, including the need for diverse and high-quality datasets, ethical considerations regarding data privacy and algorithmic bias, and the seamless integration of AI technologies with existing surgical practices and healthcare systems. In a nutshell, the exciting future of AI in surgery holds great promise and potential for further refinements in surgical techniques, automation, and personalized medicine. Ongoing research, continuous validation, regulatory oversight, and collaboration between AI developers, clinicians, and healthcare policymakers are essential to addressing these challenges and maximizing the benefits of AI in surgical practice, ensuring that these transformative technologies are safe, effective, and accessible to all.
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