Abstract: One of the leading causes of cancer-related deaths among women worldwide is breast cancer. Although improving survival rates requires early detection, traditional screening methods like mammography and biopsy have disadvantages like high cost, radiation exposure, and restricted accessibility. ThermoScan AI is an artificial intelligence-powered smartphone app that uses infrared thermography to detect breast cancer without invasive procedures. In order to scan thermal images and accurately identify anomalies, this technology uses deep learning in the form of the DALAResNet50 model. By eliminating the dangers of traditional screening methods, ThermoScan AI offers a highly accessible and reasonably priced alternative. The app offers regular screening reminders, telemedicine support, AI-powered thermal image analysis, and personalized health monitoring. ThermoScan AI's advanced technology makes screening quick and easy. People living in rural and impoverished areas, where there are few traditional medical facilities, will particularly benefit from this innovation. ThermoScan AI has the potential to improve global breast cancer treatment and lower mortality rates through better early detection and preventive treatment. This project marks a significant advancement in the use of AI to provide effective and reasonably priced healthcare solutions.
Keywords: AI, Infrared Thermography, Deep Learning, Early Detection, Non-Invasive Screening, Mobile Health, Medical Imaging, Telemedicine, Healthcare Innovation, Breast Cancer.
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DOI:
10.17148/IJARCCE.2025.145108
