AI and Robotics in Surgery: Leveraging Machine Learning for Predictive Analytics and Outcomes

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@article{1706332,
      author = {Joseph Jeremiah Adekunle, Samson Oseiwe Ajadalu, Anthony Ogadimma Aniobi, Chinedu Ibezim Onyia, Samuel Jordan Tatchum Komguem },
      title = {AI and Robotics in Surgery: Leveraging Machine Learning for Predictive Analytics and Outcomes},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {3},
      pages = {542-550},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706332.pdf},
      abstract = {Artificial Intelligence (AI) and robotics are revolutionizing the field of surgery, offering unprecedented precision, efficiency, and improved patient outcomes. This article explores the transformative impact of AI and robotics in surgical practices, with a particular focus on machine learning (ML) and predictive analytics. AI algorithms analyze vast amounts of data to assist in decision-making, predict outcomes, and perform certain tasks autonomously, while robotic systems provide enhanced dexterity and control for minimally invasive procedures. The integration of these technologies facilitates personalized treatment plans, reduces recovery times, and enhances patient safety. This article also presents real-world examples and case studies, highlighting the practical benefits and future trends in AI and robotics within the surgical field. Ethical considerations and challenges, such as patient safety, informed consent, data privacy, and bias in AI models, are also discussed. The findings underscore the potential of AI and robotics to revolutionize surgical procedures and improve healthcare outcomes, encouraging ongoing innovation and adoption in the medical community.},
      keywords = {Artificial Intelligence (AI), Robotics, Surgery, Machine Learning, Predictive Analytics},
      month = {September},
  }