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Predicting Spinal Cord Injury Prognosis Using Machine Learning: Systematic Review and Meta-Analysis
Spinal cord injury (SCI) is complicated and varied conditions that receive a lot of attention. However, the prognosis of patients with SCI is increasingly being predicted using machine learning (ML) techniques.
Medigy Insights
Machine-learning models are showing strong accuracy in predicting recovery outcomes after spinal cord injury, helping clinicians make earlier and more personalized treatment decisions. For U.S. healthcare systems, this approach could reduce long-term rehabilitation costs and improve patient independence by enabling data-driven prognosis planning.
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Mapping Digital Transformation And Social Impact In Italian Healthcare: A Holistic Evaluation Of Organizational Digital Maturity
Digital transformation (DT) is a key driver of innovation in the healthcare sector, as it improves efficiency, quality, and patient outcomes. In the Italian public healthcare system, assessing digital …
