We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




AI-Powered Portable Thermal Imaging Solution Could Complement Mammography for Breast Cancer Screening

By MedImaging International staff writers
Posted on 22 May 2024
Image: AI analyzes smartphone-based thermal images of chest for breast cancer risk-predictions (Photo courtesy of Thermaiscan Technology)
Image: AI analyzes smartphone-based thermal images of chest for breast cancer risk-predictions (Photo courtesy of Thermaiscan Technology)

Breast cancer remains a major global health concern for women, with increasing incidence rates and mortality. In many low- and middle-income countries, the challenge is exacerbated by limited affordability and access to mammography screening and diagnosis. A new study has now shown promising results for a breast cancer pre-screening solution (BCPS) that utilizes a smartphone-based thermal imaging sensor and artificial intelligence (AI), offering an effective early detection tool particularly in regions where mammography is not readily available or accessible.

In this retrospective clinical validation study, researchers at Erebouni Medical Center (Yerevan, Armenia) evaluated a BCPS based on a commercially available smartphone with a thermal imaging sensor powered by AI developed by Thermaiscan Technology (Stockholm, Sweden). The study aimed to compare the performance of the BCPS with mammography, which is the gold standard for initial breast cancer screening. Over a six-month period, the team screened 478 women using the BCPS, 45 of whom were subsequently diagnosed with breast cancer via biopsy. Each participant underwent the BCPS screening prior to following the standard mammography pathway; if malignancy was suspected from mammography, a biopsy confirmed the diagnosis and served as the definitive comparison for the BCPS AI results.

When patient-reported or clinical symptoms were considered alongside the BCPS results, the tool demonstrated a sensitivity of 89% and a specificity of 83% relative to mammography. Without accounting for these symptoms, sensitivity dropped to 60%, although specificity increased to 88.2%. The BCPS has potential applications in high-income countries as well, such as pre-screening women outside the recommended age range for breast cancer screening, or offering an alternative for those reluctant to undergo mammography due to fear, psychological barriers, financial issues, limited availability, cultural factors, or lack of awareness. Going forward, further research could explore additional applications of the BCPS, including the evaluation of pathological lymph nodes and comparisons with other breast cancer screening modalities like Point-of-Care Testing (POCT), MRI, and contrast-enhanced mammography (CEM). This could broaden the scope and efficacy of early breast cancer detection across different healthcare settings.

Related Links:
Erebouni Medical Center
Thermaiscan Technology

Half Apron
Demi
Digital Color Doppler Ultrasound System
MS22Plus
Medical Radiographic X-Ray Machine
TR30N HF
Ultrasound Needle Guidance System
SonoSite L25

Channels

General/Advanced Imaging

view channel
Image: A multinational study reports that AI can quickly generate clinically acceptable radiotherapy plans across care settings (Photo courtesy of Adobe Stock)

AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer

Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read more

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.