The clinical application of artificial intelligence technology in spinal surgery
DOI:
https://doi.org/10.54844/mr.2023.0428Keywords:
Artificial intelligence, spinal surgery, robot, machine learning, deep learningAbstract
Artificial intelligence (AI) is a field that investigates how to endow computers and computer-controlled machines with the
capability to imitate human intelligence. As a significant driving force for the new wave of technological revolution and
industrial transformation, AI has emerged as a research hotspot in the medical domain. The progress in AI technology has
profoundly influenced medicine, particularly offering new opportunities for precision and automation in spinal surgery. AI, a
comprehensive field, encompasses a variety of research areas such as machine learning (ML), deep learning (DL), computer
vision, natural language processing, and robotics, among others. These subfields intersect and potentially overlap to a
significant degree. Furthermore, robotics and AI, closely intertwined, maintain a symbiotic relationship. AI, a discipline within
computer science, aspires to develop and implement intelligent machines, with robots exemplifying these creations in
physical form. AI equips robots with capabilities for environmental comprehension, information processing, decision-making,
and learning. This review aims to examine the clinical application of AI technology in spinal surgery, with a focus on
traditional ML, DL, and robotics. We will discuss the merits and drawbacks of these technologies, as well as future
development trends.
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