AI FOR HEALTH

ADVANCING PERSONALIZED CANCER SCREENING

How Mirai predicts breast cancer

How Sybil predicts lung cancer

Mirai is an AI-powered model that predicts the risk of breast cancer within the next 5 years using a combination of mammographic imaging and clinical data. Sybil, our lung cancer model, identifies risk across a 6-year horizon from low-dose lung CT scans. Both tools are designed to improve early detection and personalized screening schedules.

These models have undergone extensive validation and demonstrate strong potential to improve outcomes through optimized screening. By tailoring recommendations based on individual risk, Mirai and Sybil represent the future of preventive care.

DEVELOPED AT

IN RESEARCH COLLABORATION WITH

Are you a health care system or payer interested in learning about integrating our tools?

A VC interested in supporting our work?

Want to subscribe to our mailing list or ask questions?

Contact Us

1 IN 8 WOMEN WILL GET BREAST CANCER

But most women who develop it have no identifiable risk factors

Learn more at National Breast Cancer Foundation, Inc.

Mirai uses unique features from each mammogram to provide a personalized risk score

An example of how Mirai predicted breast cancer years before it was detectable on a mammogram (Yala et al., 2021)

48 Hospitals

22 Countries

2 Million+

mammograms validated

So that early detection can save lives

Survival rates for breast cancers detected at different stages, from the earliest stage (0-1) to the latest (4). Adapted from knowyourlemons.com

LUNG CANCER IS THE #1 CAUSE OF CANCER DEATH

LungCancerFacts-full-infographic.quick_.pdf

Learn more at The LUNGevity Foundation

Sybil uses unique features from each lung scan to provide a personalized risk score

An example of how Sybil predicted lung cancer years before it was detectable on a low dose lung CT (LDLCT) (Mikhael et al., 2023)

20 Hospitals

11 Countries

85,000+

LDLCTs validated

PRESS

Robust artificial intelligence tools to predict future cancer MIT researchers have improved their machine learning system, Mirai, developed to predict cancer risk from mammogram images, and validated their effectiveness with studies across several hospitals.

AI to Predict Breast Cancer RiskUsing Artificial Intelligence models appears to be more efficient than traditional methods for calculating the risk of suffering from this disease.

MIT researchers develop an AI model that can detect future lung cancer riskSybil is a new artificial intelligence tool that can detect lung cancer up to six years in advance. MIT and Mass General Cancer Center researchers designed an AI tool, called

Using AI for Early Detection of Lung Cancer

Mass General Brigham https://www.massgeneralbrigham.org/en/about/newsroom/articles/ai-for-early-detection-of-lung-cancer

AI Gains Ground with Breast Cancer Diagnosis and Prevention | Think Global HealthTransforming the breast cancer landscape through the power of artificial intelligence

AI Breast Cancer Detection and Diagnosis| Breast Cancer Research FoundationHow researchers are working to integrate AI and machine learning into breast cancer screening and diagnostics

The AACR Industry Roundtable 2024: Detecting and Treating Cancer EarlyThe AACR Industry Roundtable 2024 focused on topics related to tracking and treating early cancers, including predicting cancer risk with AI.

Using AI to Transform Breast Cancer Care

The New York Times https://www.nytimes.com/2019/10/24/well/live/machine-intelligence-AI-breast-cancer-mammogram.html

AI Tool Predicts Risk of Lung Cancer‘Sybil’ accurately predicted individuals’ lung cancer risk 1 to 6 years into the future

Promising new AI can detect early signs of lung cancer that doctors can't seeThe tool, Sybil, looks for signs of where cancer is likely to turn up so doctors can spot it as early as possible.

Lung cancer: AI tool Sybil may be able to predict risk within 6 yearsA new AI tool named Sybil may be able to predict lung cancer risk 1-6 years after screening with one low-chest computed tomography scan,

Is artificial intelligence about to transform the mammogram?

The Washington Post https://www.washingtonpost.com/technology/2021/12/21/mammogram-artificial-intelligence-cancer-prediction/

LITERATURE

Toward robust mammography-based models for breast cancer risk

Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model

Role of Sex in Lung Cancer Risk Prediction Based on Single Low-Dose Chest Computed Tomography

Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening

Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction Using Low-Dose Chest Computed Tomography and Open-Access Sybil Algorithm

Evaluation of an AI Model to Assess Future Breast Cancer Risk

Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study

External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population

Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI

Validation of the Mirai model for predicting breast cancer risk in Mexican women

Validation of the Sybil Deep Learning Lung Cancer Risk Prediction Model in Three Independent Screening Studies

Page updated

Google Sites

Report abuse