Enhancing Early Diagnosis of Heart Diseases Using Convolutional Neural Networks (CNNs) (Asst. Lecturer Qusay Munir Diab)

  Share :          
  111

In line with global efforts to promote public health and harness artificial intelligence for medical innovation, researchers are developing mechanisms for the early diagnosis of cardiovascular diseases through the application of Convolutional Neural Networks (CNNs). These models, inspired by the visual structure of the human brain, have demonstrated remarkable efficiency in analyzing complex medical images and detecting subtle patterns that may be difficult for the human eye to discern.<br />Key Research Directions<br />• Medical Imaging Analysis: Utilizing CNNs to process and interpret echocardiography, MRI, and CT scans, thereby enabling more accurate detection of cardiac disorders.<br />• Risk Stratification: Integrating CNN outputs with patients’ clinical data to predict risk levels and enable timely therapeutic interventions.<br />• Biomarker Extraction: Leveraging CNN layers to automatically extract significant features from medical imaging datasets, reducing reliance on manual interpretation.<br />• Integration with IoT and Wearable Devices: Linking intelligent diagnostic systems with modern medical devices to continuously monitor patients’ conditions and deliver early alerts to physicians.<br />The use of CNNs in the early diagnosis of heart diseases represents a strategic step toward more precise and efficient medicine. It contributes to lowering mortality rates, improving treatment outcomes, and reducing long-term healthcare costs.<br />Alignment with the Sustainable Development Goals (SDGs)<br />This direction reflects the commitment of academic and research institutions to achieving the United Nations SDGs, particularly:<br />• SDG-3 (Good Health and Well-Being): By developing advanced diagnostic tools that reduce the burden of cardiovascular diseases and enhance quality of life.<br />• SDG-9 (Industry, Innovation, and Infrastructure): Through the integration of artificial intelligence and modern medical technologies into healthcare systems.<br />• SDG-17 (Partnerships for the Goals): By strengthening collaboration between universities, research centers, and medical technology companies to accelerate the implementation of these solutions.<br /><br /><br /><br />Al-Mustaqbal University – The First University in Iraq.<br />