As a health assessment method based on biophysiology, [it] Providing disease-related information that goes beyond traditional clinical measures; [atherosclerotic cardiovascular disease] and evaluation of associated chronic diseases
Minghui Kung et al.
Of the three most important predictive thermal indicators, the most influential was the side-to-side temperature difference across the face, followed by maximum face temperature and average face temperature. Notably, the average temperature in the left jaw area was the strongest predictive feature, followed by the temperature range in the right eye area and the side-to-side temperature difference in the left temple area. This approach also effectively identified traditional risk factors for coronary artery disease: high cholesterol, male gender, smoking, excess body mass index (BMI), fasting glucose level, and indicators of inflammation.
The researchers acknowledge the study's relatively small sample size and the fact that the study was conducted at only one center. Also, all study participants had been referred for confirmatory testing for suspected heart disease. But they still write: [thermal imaging] base [coronary artery disease] “The predictions suggest potential future applications and research opportunities,” he added. “As a biophysiologically-based health assessment method, [it] Providing disease-related information that goes beyond traditional clinical measures; [atherosclerotic cardiovascular disease] and associated chronic disease assessment. Contactless, real-time [it] “This could enable immediate disease assessment at the point of care, streamlining clinical workflow and saving doctors and patients time in critical decision-making. Furthermore, it has the potential to enable large-scale pre-screening,” they conclude. [thermal imaging] Based on advanced predictive models [machine learning] “This technique shows promising potential compared with current traditional clinical tools. Further investigations incorporating larger sample sizes and diverse patient populations are needed to verify the external validity and generalizability of the current study findings.”
sauce: BMJ
