Clinical and Technical Publications using Niramai Technology

Updated March 2026  ·  All peer-reviewed

Note: Soft copies may be subject to publisher copyright and are shared for academic use only – please do not redistribute.

Note: Niramai holds 40 granted patents covering thermal imaging and AI. Ideas in these publications are protected; reuse is highly discouraged.

Peer-reviewed full papers in journals

2026TechnicalClinical

Adaptive Density-Informed AI Framework for Improving Breast Cancer Detection Using Mammography and Thermal Imaging

Kakileti ST, Govindaraju B, Sampangi S, Manjunath G. Innovative Practice in Breast Health, Apr 2026.

Multimodal AI that adapts to breast density, combining mammography with thermal imaging.

2025Case Study

Niramai: An AI Solution to Save Lives

Koning R, Roche MP, Dey K. Harvard Business School Case 725-439, Mar 2025.

Harvard case study on Niramai’s mission, technology, and growth.

2024Technical

Generative AI Approaches for Synthesizing High-Fidelity Breast Thermal Images

AIIIMA 2024 · Springer Nature LNCS.

New generative methods for producing realistic thermal images for AI training.

2024Technical

Thermal Radiomics for Early Detection of Diabetic Foot Ulcers Using Infrared Thermography

AIIIMA 2024 · Springer Nature LNCS.

Extending Niramai’s thermal radiomics work beyond breast – to diabetic foot ulcers.

2024Real-World

Quantitative insights from breast cancer screening of 100,000 women in India using an AI-based tool

Preprint (Research Square), Aug 2024.

Insights from one of the largest AI-based breast cancer screening cohorts to date.

2024Clinical

Evaluating Clinical Efficacy of Thermalytix as a Breast Cancer Screening Tool in Young Women

Journal of Young Women’s Breast Cancer and Health, 1(1&2):58-65, Dec 2024.

Efficacy of Thermalytix in younger women – a population where mammography sensitivity is limited.

2023Case Study

Scaling Niramai: Disrupting Breast Cancer Detection Using AI

Harvard Business Publications, Jan 2023.

Business case on scaling Niramai’s AI-powered screening.

2023Case Report

AI-enhanced thermal breast imaging in the diagnosis of invasive breast cancer: 2 case reports

European Journal of Medical Case Reports, 2023.

Two symptomatic patients identified by Thermalytix and confirmed as IDC.

2023Technical

3D-BreastNet: A Self-supervised Deep Learning Network for Reconstruction of 3D Breast Surface from 2D Thermal Images

MICCAI Workshop on AI over Infrared Images for Medical Applications, 2023.

Self-supervised model for reconstructing 3D breast surface from 2D thermal images.

2021Technical

A Systematic Study to Evaluate the Benefit of using a Visualization Tool for Breast Thermography

Thermology International (American Academy of Thermology), May 2021.

SMILE-100 visualization tool with automated hotspot annotation as an aid to thermographers.

2020Technical

Estimation of Breast Cancer Incidence Risk with Incomplete or Inaccurate Information

Asian Pacific Journal of Cancer Prevention, 21(8):2307-2313, 2020.

Deep learning model computing 1-year breast cancer risk from non-imaging questionnaire data.

2020Technical

Exploring deep learning networks for tumour segmentation in infrared images

Quantitative InfraRed Thermography Journal, 17(3):153-168, Jul 2020.

Deep learning approach for detecting hotspots that may represent potential tumours.

2020Technical

Robust Estimation of Breast Cancer Incidence Risk in Presence of Incomplete or Inaccurate Information

Asian Pacific Journal of Cancer Prevention, 21(8):2307-2313, 2020.

ML-based risk assessment without thermal images.

2020Technical

Thermalytix – using AI to save lives

XRDS: Crossroads, ACM Magazine for Students, 26(3):38-41, 2020.

Accessible overview of Niramai Thermalytix in ACM’s student magazine.

2019Technical

Cascaded CNN for View-Independent Breast Segmentation in Thermal Images

IEEE EMBC, 2019.

Segmentation model used in Thermalytix for the breast ROI in thermal images.

2016Technical

Extraction of medically interpretable features for classification of malignancy in breast thermography

IEEE EMBC, 1062-1065, 2016.

First version of the Thermalytix algorithm; semantic features driving the ML classifier.

2016Technical

Automated blood vessel extraction in two-dimensional breast thermography

IEEE ICIP, 380-384, Sep 2016.

Algorithm for extracting blood-vessel structure from breast thermal images.

2016Technical

Automatic determination of hormone receptor status in breast cancer using thermography

MICCAI, 636-643, Oct 2016.

ML to determine hormonal status of breast cancer from thermal images alone.

2015Technical

Semi-automated breast cancer tumor detection with thermographic video imaging

IEEE EMBC, Milan, Aug 2015.

Early version of the algorithm using image-processing techniques.

2015Technical

Initial evaluation of human-supervised automated breast cancer screening using thermography

QIRT Asia, Mamallapuram, Jul 2015.

First lab-level evaluation of the ML algorithm on thermal images.

2015Technical

Method for classifying cancerous and normal regions in breast thermography for small-size tumors

QIRT Asia, Mamallapuram, Jul 2015.

Very early version of the classification technique.

2017Book Chapter

Advances in breast thermography

InTech · New Perspectives in Breast Imaging, 2017:91. doi:10.5772/intechopen.69198

2021Book Chapter

AIM for Breast Thermography

Artificial Intelligence in Medicine (Springer), 2021.

2023Book Chapter

Robust Data-Driven Region-of-Interest Segmentation for Breast Thermography

Handbook of Dynamic Data Driven Applications Systems, Vol. 2, 2023.

Presentations at international conferences (abstracts & posters)

2026Clinical

Comparing User Experience Between AI-powered Thermal Test and Mammography

Clinical Cancer Research, 32(4_Suppl):PS5-10-15, Feb 2026 (SABCS).

Single-center study comparing patient experience between Thermalytix and mammography.

2024Clinical

AI-based Thermalytix for management of Breast Pain in Primary Care

SABCS 2024, San Antonio, Texas, Dec 2024.

2023Real-World

Real-world evaluation of thermogram + CBE in community-based breast cancer screening

Annals of Oncology, 34:S950, Oct 2023.

2023ClinicalMultimodal

Multi-modal AI imaging for improving breast cancer screening across breast densities: a pilot study

European Breast Cancer Conference, Milan, Italy, Mar 2023.

181 women – adding Thermalytix to mammography interpretation improved sensitivity by 15%.

2024Clinical

Evaluating Clinical Performance of Thermalytix in Women with Dense Breasts

76th IRIA Conference, 2024.

Cohort study of 717 women in dense-breast population.

2024Clinical

A prospective study comparing performance of Thermalytix with Diffusion-Weighted MRI

76th IRIA Conference, 2024.

2023Clinical

Efficacy of Thermalytix compared to standard imaging in detecting early breast cancer (T1, T2)

3rd Indian Cancer Congress, Nov 2023.

Retrospective analysis of T1/T2 lesion detection across prior clinical trials.

2023Review

Novel clinically effective, appropriate, and affordable breast cancer screening solutions for resource-constrained settings: a scoping review

3rd Indian Cancer Congress, Nov 2023.

2022HTA

Health Technology Assessment on Thermalytix: A Novel Breast Cancer Screening Technology

Value in Health, 25(12):S317-S318.

2022Real-World

Analyzing the performance of Thermalytix, an AI-based breast cancer screening solution, in a community setting

SABCS 2022, San Antonio, Texas, Dec 2022.

6,935 women screened with Thermalytix across 22 BBMP hospitals.

2022Real-World

Real-world evidence from a breast-screening pilot for the underprivileged: BBMP hospitals

European Breast Cancer Conference, Barcelona, Spain, Nov 2022.

6,935 women screened with Thermalytix in 22 BBMP hospitals.

2022MultimodalClinical

MaThAI: A multimodal imaging modality combining Mammography and Thermalytix

European Breast Cancer Conference, Barcelona, Spain, Nov 2022.

Multimodal approach using B-Score to prioritize mammography scans for early malignancy detection.

2022vs Mammography

Evaluating screening performance of Thermalytix by comparing breast lesion sizes with mammography

UK Imaging and Oncology (UKIO) 2022, Liverpool, UK.

Post-hoc analysis of 470 subjects – Thermalytix correlated with mammography for small lesion detection.

2019Clinical

AI for early-stage breast cancer screening

ASCO Breakthrough Summit, Bangkok, Oct 2019. Top-50 presentation.

Observational study on 769 participants vs mammography, ultrasound, and biopsy.

2021Clinical

A prospective study of an AI-based breast cancer screening solution for resource-constrained settings

ASCO Annual Meeting 2021.

Thermalytix vs mammography in 459 participants.

2022Clinical

Prospective evaluation of an affordable, portable AI modality for breast cancer screening across breast densities

2022 ASCO Annual Meeting.

2021Clinical

Thermal Radiomics for Detection of Axillary Lymph Node Metastases: A Pilot Study

Global Breast Cancer Conference (GBCC 10), Seoul, Apr 2021.

2020ClinicalB-Score

Correlation of Thermalytix in detecting a breast lesion as benign, malignant, or normal

SABCS 2020, San Antonio, Texas, Dec 2020 (PS2-44).

Pilot comparing B-Score with BI-RADS and histopathology.

2019Technical

A Non-Radiation Based Screening to Detect Dense Breasts

SABCS 2019, San Antonio, Texas, Dec 2019.

Detecting breast density from thermal images alone.

2018Clinical

AI over thermal images for radiation-free breast cancer screening

SABCS 2018, Dec 2018.

First poster comparing Thermalytix with mammography on 247 participants – benefit on BI-RADS 0 mammograms.

2018Clinical

Machine Learning over Thermal Images for Accurate Breast Cancer Screening

Int. Conf. on Advances in Breast Cancer Treatments, Kyoto, Japan, Apr 2018.

AI-based Thermalytix vs manual thermography.

2018Clinical

Thermalytix: An Advanced AI-Based Solution for Non-Contact Breast Screening

Int. Conf. on Breast Cancer Management, Amsterdam, Feb 2018.

First pilot comparing Thermalytix with mammography on 147 participants.

2016Clinical

Evaluation of efficacy of thermographic breast imaging in breast cancer: A Pilot Study

Breast Disease, 36(4):143-147, 2016.