Therapixel Case Study: AI MammoScreen Helps to Avoid Errors

DomAIn Knowledge

Therapixel Case Study: AI MammoScreen Helps to Avoid Errors

DomAIn Knowledge

Ferrum Health partners with best-in-class AI providers, offering solutions to reduce radiology workload and improve patient care.

Therapixel Case Study: AI Helps to Avoid Errors

Introduction

AI-guided breast cancer detection system, such as MammoScreen, provides radiologists the reassurance and avoid errors.   

Clinical case

  • A 71-year-old female requests a second opinion
  • A palpable right breast mass had been negated 1 month prior
  • Utilizing MammoScreen on the second image, the mass was detected with a score of 9
  • The mass was found on ultrasound with a measurement of 20mm and an MRI shows a large mass
  • With the high score, the AI could have alerted the first radiologist, fortunately, the patient requested a second opinion
  • Biopsy result: invasive ductal carcinoma grade 3

Conclusion

The use of MammoScreen is reliable in the detection of cancer and helps to avoid errors.

Interested in deploying MammoScreen at your health facility?

Contact the Ferrum Health team to learn more.

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ARA Health Specialists

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