AI and Facial Thermal Imaging Method for Detecting Coronary Artery Disease

Researchers from Tsinghua University developed an AI and thermal imaging method to diagnose coronary artery disease, showing 13% higher accuracy than traditional assessments.

Recent research has discovered a potentially groundbreaking method for identifying coronary artery disease, a leading cause of heart attacks. The innovative approach combines facial thermal imaging and artificial intelligence (AI) technology, demonstrating promising results in detecting this serious condition ().

Thermal Imaging Captures Temperature Variations

The research, led by a team from Tsinghua University in Beijing, China, explores the use of thermal imaging to capture temperature distribution and variations on the face. By detecting infrared radiation emitted from the skin, thermal imaging can reveal patterns potentially linked to underlying health issues.

Coronary Heart Disease - Causes, Symptoms, Risk Factors, Diagnosis, Tretment
In coronary heart disease, blood is unable to flow through blocked arteries. The main symptom is chest pain or angina. Treatment is with medications or surgery.

‘AI and thermal imaging diagnose heart disease with 70% accuracy, outperforming traditional methods by 13%. #HeartHealth #Innovation’

AI Analyzes Patterns for Disease Detection

When paired with AI, this method analyzes thermal images to identify abnormal blood circulation and inflammation through skin temperature patterns. This offers real-time, non-invasive measurements, making it a potentially efficient and patient-friendly approach compared to traditional methods.

Current methods for diagnosing coronary artery disease often rely on a combination of risk factor assessments, ECG readings, angiograms, and blood tests. These methods can be inconvenient for patients and may not always be accurate.

The recent study used facial thermal imaging and an AI-assisted imaging model to diagnose coronary artery disease in 460 participants with suspected heart disease. The new approach identified the condition in 70% of participants, whose diagnosis was later confirmed. This suggests that the new approach could be both less invasive and more accurate than traditional methods.

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The researchers noted that the new approach was about 13% better at predicting coronary artery disease than traditional risk assessments. They believe this "biophysiological-based health assessment modality" holds promise for providing valuable information beyond traditional clinical measures. However, they call for larger studies to further validate the effectiveness of this method.

The potential for a faster, less invasive way to diagnose heart disease is significant. This new approach using facial thermal imaging and AI shows promise and could revolutionize the way we identify and manage coronary artery disease in the future.

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Reference:

Facial thermal imaging, AI can accurately predict heart disease risk - (https://www.theindiancommunity.org/news/facial-thermal-imaging-ai-can-accurately-predict-heart-disease-risk.58551/)

Source-Medindia

Tips to Prevent Heart Attacks
Heart Attack occurs when the flow of oxygenated blood to heart muscles is hindered or stopped due to built-up of plaques in coronary arteries. Heart Attack is the No.1 killer among Indians.