AI is the use of computers to analyze data to make predictions. Researchers are studying if AI can improve the detection of metastases on imaging scans and help guide treatment decisions better than when humans alone perform these tasks.
Read below for an introduction to AI as it relates to cancer and for links about how AI is being used to improve clinical trials, predict response to treatment, and more.
Introduction to AI and Machine Learning
- National Cancer Institute: AI can analyze large amounts of data in a short time to predict features of cancer
AI to Address Mental Health Concerns
- University of Virginia: AI can help identify mental health concerns early so patients can get the help they need quickly
- Oncology Nursing Society: AI can help cancer nurses address mental health concerns of people with cancer
Concerns About the Use of AI in Healthcare
- Blood Cancer United: Patients’ concerns about the use of AI in healthcare include misdiagnosis, privacy, less time with their doctor, cost, and increased disparities among racial and ethnic groups
AI and Clinical Trials
- Breast Cancer Research Foundation: AI can speed up identification of new drugs to test in clinical trials and can more quickly identify more people who may be eligible for clinical trials
AI to Improve Detection of Metastasis
- Radiology Business: AI detects metastases overlooked by radiologists on CT scans
AI to Predict Response to Therapy
- Winship Cancer Institute of Emory University: AI analysis of CT scans can help predict response to CDK 4/6 inhibitors for people with MBC that has spread to the liver
- Science Daily: AI analysis of MRI scans can help predict response to radiation for people with cancer that has spread to the brain
MBC Clinical Trials With or Without Use of Artificial Intelligence
- Metastatic Trial Search: Trials for Treatment Decision Support
- Metastatic Trial Search: Trials with Artificial Intelligence
Last Modified on January 7, 2026