Impact of Artificial Intelligence on the Treatment of Spinal Cord Injury

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发表日期：

2024年

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Lynn Graham,
Nick Martin,
Suhrud Pathak,
Rachel Parise,
Keyi Liu,
Jeyaram Bharathi Jeyabalan,
Umamaheswari Raman,
Hanan Fahad Alharbi,
Thirumal Margesan,
Jack Deruiter,
Muralikrishnan Dhanasekaran

摘要

The role of artificial intelligence (AI) in healthcare and healthcare administration has been under increasing focus as providers search for more efficient and cost-effective practices. One class of central nervous system-related injuries that may benefit from AI applications is spinal cord injury (SCI). AI will likely play an important role in the administrative tasks in healthcare, such as chart scribing, billing, provider–provider, and provider–patient communication, possibly lowering the overall cost of SCI treatment. The implementation of AI serves not only to make healthcare more efficient but also may lead to more rapid diagnosis, prevention, and treatment, as these patients generally remain disabled while afflicted with SCI. AI methods such as machine learning and pattern recognition have already been shown an increase the accuracy of imaging-based diagnoses. With SCI patients having symptoms of speech impairment, language processing of these patient–provider interactions may yield highly accurate and useful diagnostic data for physicians through the cross-referencing of many patient symptoms and reports. AI and machine learning also have a place in the interpretation, meta-analysis, and validity of medical data encompassing SCI. Analysis of gross data by AI may demonstrate pattern identification with an efficiency unmatched by current analytical methods. AI has the potential to provide immense benefits in drug development and the discovery of SCI treatments. Genetic analysis, protein structure determination, constitutional analysis, predictive modeling, and synthesis planning have already shown promise with the implementation of AI in drug development. These applications may serve a vital role in developing medications that may alleviate secondary symptoms of SCI and possibly restore some function. The prevalence of SCI and its effects on many aspects of patient life and health provide support for the implementation of AI in the assessment and treatment of SCI.