we aim to make data-driven medicine
the new standard of care.
We are especially focused on
one of the leading causes
of death worldwide.
AI for Radiology
We enable more effective diagnosis
and breast imaging
AI for Oncology
We enable more effective treatment
Lunit Secures $26M Investment from Guardant Health
A Multi-reader Study Finds Unnecessary CT Exams Can Be Reduced by 30% When Analyzing Chest Radiographs with AI
What do medical studies say about AI for COVID-19 management?
AI for Radiology and Oncology
AI-based Analysis of Cancer Tissue Predicts Response to Immunotherapy--Findings to Be Presented at ASCO 2021
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Making data-driven medicine a reality
Lunit Announces Partnership to Incorporate its Chest Detection Suite into Philips' Diagnostic X-ray Suite
Will AI Identify Breast Cancer Better Than Radiologists in Actual Clinical Screening?
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study
Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
SRM: A Style-based Recalibration Module for Convolutional Neural Networks
Learning Visual Context by Comparison