Optimizing Hemodynamic Management with AI: A Case Study on Acumen Assisted Fluid Management (AFM)
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In modern anesthesiology, precision fluid management plays a crucial role in optimizing surgical outcomes. A recent case study published in the Journal of Biomedical Research & Environmental Sciences (JBRES) highlights the impact of Acumen Assisted Fluid Management (AFM) in ensuring hemodynamic stability during complex procedures. The Role of AI in Fluid Management AI-driven decision support systems like AFM are transforming intraoperative care by providing real-time assessments of patient fluid responsiveness. This study demonstrates how AFM leverages machine learning algorithms to predict patient responses to fluid administration, reducing complications associated with over- or under-hydration. Case Study Highlights Patient: 55-year-old male undergoing laparoscopic sigmoidectomy using robotic surgery. Technology Used: Advanced hemodynamic monitoring, Hypotension Prediction Index (HPI) , and AFM-assisted goal-directed fluid therapy (GDFT) . ...