ArticleFrontiers in artificial intelligence2022
A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital.
Article in Frontiers in artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Breast thermography: a systematic review and meta-analysis.Systematic reviews · 2024Pooled it
- DensiThAI: A Multi-View Deep Learning Framework for Breast Density Estimation Using Infrared Images.Journal of imaging informatics in medicine · 2026Article
- Navigating AI and machine learning in cancer research: an end-to-end translational framework.Journal of translational medicine · 2026Review
- [Infrared thermography outcomes in women with suspected breast cancer].Revista medica del Instituto Mexicano del Seguro Social · 2026Observational
- Comparative Evaluation of Infrared Thermography and Mammography in the Detection of Breast Cancer.Cureus · 2026Article
- Why Do Radiologists Disown Breast Thermography? A Critical Review of Recent Studies and Recommendations.Cancers · 2025Review
- Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications.Sensors (Basel, Switzerland) · 2025Review
- A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening.NPJ digital medicine · 2025Article
- Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024.Diagnostics (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Artificial intelligence-enhanced breast thermography is being evaluated as an ancillary modality in the evaluation of breast disease. The objective of this study was to evaluate the clinical performance of Thermalytix, a CE-marked, AI-based thermal imaging test, with respect to conventional mammography. Methods: A prospective, comparative study performed between 15 December 2018 and 06 January 2020 evaluated the performance of Thermalytix in 459 women with both dense and nondense breast tissue. Both symptomatic and asymptomatic women, aged 30-80 years, presenting to the hospital underwent Thermalytix followed by 2-D mammography and appropriate confirmatory investigations to confirm malignancy. The radiologist interpreting the mammograms and the technician using the Thermalytix tool were blinded to the others' findings. The statistical analysis was performed by a third party. Results: A total of 687 women were recruited, of whom 459 fulfilled the inclusion criteria. Twenty-one malignancies were detected (21/459, 4.6%). The overall sensitivity of Thermalytix was 95.24% (95% CI, 76.18-99.88), and the specificity was 88.58% (95% CI, 85.23-91.41). In women with dense breasts ( Conclusion: Thermalytix showed acceptable sensitivity and specificity with respect to mammography in the overall patient population. Thermalytix outperformed mammography in women with dense breasts and those reported as BI-RADS 0.
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