Lunit noted that six studies featuring the use of its AI technology will be presented at the Society for Immunotherapy of Cancer (SITC) 2023 meeting being held November 1 to 5 in San Diego.
The studies highlight the predictive value and analytical power of the company’s Lunit SCOPE suite in various types of cancer, such as non-small cell lung cancer (NSCLC) and triple-negative breast cancer, Lunit said.
Lunit’s SCOPE IO software analyzes a patient’s cancer tissue slide image by observing the distribution of tumor-infiltrating lymphocytes, which fight cancer cells. Based on the spatial distribution pattern of tumor-infiltrating lymphocytes, the software may help clinicians identify patients at higher risk, the company said.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
