Insight that starts before breast cancer is found.
Expand risk assessment beyond imaging. By connecting established risk models, high-risk programs, and ambulatory care settings, our solutions support workflow coordination across the breast care pathway.
Insight that supports earlier breast cancer detection.
By enhancing 2D and 3D mammography interpretation, our solutions improve accuracy, reduce recalls, and help radiologists focus on the cases that matter most. All while providing greater visibility into AI performance across your screening program.
Insight that strengthens every image, every outcome.
From image positioning and compression to compliance and staff performance, our solutions help teams measure, improve, and maintain quality at scale—creating a stronger foundation for every care team member and every patient.
Expanding how breast care teams understand risk across the continuum of care.
Lunit is exploring new approaches to risk assessment, including image-based risk technology* currently under development. Paired with established risk assessment pathways, this innovation aims to expand the insights available across the breast care continuum.
Transform your chest X-ray workflows with Foundation Model Services.
As part of Lunit's Foundation Model Services (FMS) offering, our Vision to Language Models (VLMs) adapt to your imaging practice—starting with X-ray. By creating auto-generated draft reports for radiologists to review, edit, and sign-off, Lunit FMS has the potential to unlock excess reporting capacity and standardize report quality across your practice.
🎤Nathan Neeteson, PhD, AI Specialist and Biomedical Engineer | Mayfair Diagnostics
📅 Sunday 29 November
⏰2.30-3.00pm
Mayfair Diagnostics recently completed AI evaluations and vendor selections. Join this session to hear practical lessons, key decision criteria, and best practices for confidently selecting and implementing an AI solution that supports cancer detection.
🎤Dr. Megha Gupta | Sol Radiology
📅 Tuesday 1 December
⏰10.30-11.00am
This session demonstrates how AI supported earlier cancer detection in five real world cases and increased confidence in diagnosis. Learn the key lessons Sol Radiology gained from implementing AI in clinical practice.
🎤Karmen Wall | Emplify Health by Bellin Surgical Associates
📅 Tuesday 1 December
⏰11.30am-12.00pm
Hear how one health system is expanding their breast cancer risk program beyond imaging. This session explores approaches to building coordinated risk pathways, engaging stakeholders across specialties, and connecting risk assessment to personalized screening, prevention, and follow-up care.
Dr. Megha Gupta, Sol Radiology
Dr. Nasir Siddiqui, Akumin
Dr. Sean Raj, SimonMed