Low back pain remains the foremost cause of disability worldwide, exerting a significant socioeconomic impact. Leveraging artificial intelligence (AI) has emerged as a promising approach to support clinical decisions across various stages of healthcare related to this pervasive condition.
Advancements in AI-Based Decision Support Systems
A comprehensive systematic review examined the role of AI-driven Decision Support Systems (DSS) in the prevention and management of low back pain (LBP) caused by lumbar degenerative spine disorders. Utilizing databases such as PubMed and Scopus and following the PRISMA guidelines, the study meticulously selected 25 relevant articles. These studies employed a range of machine learning and deep learning algorithms to evaluate clinical, demographic, psychosocial, and imaging data, demonstrating the versatility of AI applications in this field.
Impressive Predictive Accuracy Demonstrated
The reviewed research focused on three main applications of AI-DSS: defining clinical scores, conducting clinical assessments, and predicting patient eligibility for specific treatments. These systems achieved remarkable Area Under the Curve (AUC) scores of 0.93, 0.99, and 0.95 respectively, highlighting their high accuracy and potential reliability in clinical settings.
– AI algorithms effectively integrate diverse patient data for comprehensive analysis.
– High AUC scores reflect the strong predictive capabilities of AI-DSS.
– Implementation of AI tools can enhance the precision of clinical assessments and treatment plans.
The integration of AI-based DSS into clinical practice promises to refine the prevention strategies and management protocols for LBP, leading to more tailored and effective patient care. By accurately interpreting complex datasets, these systems can assist healthcare professionals in making informed decisions, ultimately improving treatment outcomes and alleviating the global burden of low back pain-related disability.
Future research should focus on expanding the datasets and refining AI models to further enhance their predictive power and usability in real-world clinical environments. Additionally, fostering collaboration between AI developers and healthcare providers will be crucial in facilitating the seamless adoption of these advanced technologies, ensuring that they meet the practical needs of medical practitioners and benefit patients effectively.
As AI continues to evolve, its role in managing musculoskeletal disorders like low back pain is set to become increasingly integral, offering innovative solutions to longstanding challenges in healthcare delivery and patient management.
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