MIT researchers developed artificial intelligence to improve early breast cancer detection, potentially reducing unnecessary biopsies and surgeries

Briefing

MIT researchers developed artificial intelligence to improve early breast cancer detection, potentially reducing unnecessary biopsies and surgeries

October 17, 2017

Briefing

  • AI System – MIT Computer Science and Artificial Intelligence Laboratory researchers became first to develop AI system using machine learning to improve early breast cancer detection
  • Current Solutions – Early detection can often be cured; however, current mammograms frequently produce false positive results, leading to unnecessary biopsies and surgeries, as roughly 70% of lesions are benign
  • AI System Technology – Trained on 600 existing high-risk lesions, system uses machine learning to identify if high-risk lesion found in mammogram will become cancer by using data patterns, covering demographics, family history, past biopsies, and pathology reports
  • Next Steps – Continue to improve model and incorporate actual images from mammograms, pathology slides, as well as more extensive patient medical records in future

Accelerator

Sector

Healthcare/Health Sciences

Organization

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

Source

Original Publication Date

October 16, 2017

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