The Rochester Institute of Technology (RIT) and Rochester Regional Health in New York are collaborating to develop thermal breast cancer screening techniques.
Supported by a National Science Foundation grant of $99,620, the two-year project will explore whether modern thermal, or infrared, imaging can serve as an alternative to ultrasound or MRI in a complementary role to conventional mammography.
New thermal imaging techniques can identify alterations in the metabolic behavior of tissues and release specific thermal signatures, according to lead researcher Satish Kandlikar, PhD, from RIT. Thermal imaging will be combined with an artificial intelligence system that predicts the location and size of tumors on a thermal map.
"The team isn't interested in replicating the current methods of thermography; we want to improve the technology enough that thermal imaging will be a fully reliable complement to mammography in breast cancer detection," said Dr. Lori Medeiros, of Rochester Regional Health Breast Center, in a statement.
The project will be conducted under the auspices of the RIT and Rochester Regional Health Alliance, which was established in 2008. RIT is Rochester Regional Health's official academic affiliate, while Rochester Regional is the university's official affiliated clinical partner.










![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)






