AI-Driven Advancements in Medicine and Education: A Pilot Study on AI-Assisted Diagnosis and Treatment for Blood Coagulation Disorder

The COVID-19 pandemic underscores the need for efficient coagulation monitoring. This study presents a pilot integrated platform using big data and AI technology to streamline coagulation procedures. Leveraging 765 samples, we built a data collection system capturing coagulation, metabolism, blood gas, and osmotic pressure indicators. AI identified data features and disease symptom importance, resulting in a robust disease model database. An intelligent decision-making system for abnormal coagulation was constructed. Our findings show improved diagnosis efficiency and accuracy, forming a foundation for precision medicine. This intelligent intervention system aligns with personalized evidence-based diagnosis and treatment, promising more accurate clinical outcomes.