Krishna Kumar Dhakchinamoorthi: How AI-Powered Technologies Analyze Patient History to Detect and Predict DVT
Krishna Kumar Dhakchinamoorthi, Professor and Head at SNS Institutions, shared a post on LinkedIn:
“Artificial Intelligence (AI) is transforming the prevention, diagnosis, and management of Deep Vein Thrombosis (DVT) by enabling faster detection and smarter clinical decision-making.
This infographic illustrates how AI-powered technologies analyze patient history, Doppler ultrasound images, laboratory reports, and vital signs to identify blood clots and predict DVT risk at an early stage.
It highlights the role of machine learning, wearable health monitoring, and clinical decision support systems in improving patient safety and treatment outcomes.
The infographic also emphasizes key benefits such as early diagnosis, accurate risk prediction, timely intervention, continuous monitoring, and personalized patient care.
Through advanced digital healthcare solutions, AI is helping healthcare professionals reduce complications, prevent pulmonary embolism, and improve overall vascular health management.”
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