AI-driven Approach to Etiology Classification

About

The challenge was to accurately classify the origins of blood clots in ischemic stroke using histopathological images. The task involved differentiating between two major acute ischemic stroke etiology subtypes: cardiac and large artery atherosclerosis. Read more

CASE STUDY DETAILS

Mayo Clinic

Enterprise/Corporation

Rochester, United States

Project work

1 - 5 people

Less than 3 Months

€20 - 50K

Extreme Programming

FOCUS AREA

Challenge, approach, and impact

  • Histopatology images classification

    The challenge was to accurately classify the origins of blood clots in ischemic stroke using histopathological images. The task involved differentiating between two major acute ischemic stroke etiology subtypes: cardiac and large artery atherosclerosis.

    The goal was to provide physicians with a reliable tool to assist in stroke etiology classification and prescribe appropriate treatments.

Testimonials

Two blue lines

“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more

Anonymous

Project Science Lead at Mayo Clinic

VERIFIED

Two blue lines

“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more

Anonymous

Project Science Lead at Mayo Clinic

VERIFIED

Two blue lines

“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more

Anonymous

Project Science Lead at Mayo Clinic

VERIFIED

Two blue lines

“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more

Anonymous

Project Science Lead at Mayo Clinic

VERIFIED

Two blue lines

“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more

Anonymous

Project Science Lead at Mayo Clinic

VERIFIED

Two blue lines

“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more

Anonymous

Project Science Lead at Mayo Clinic

VERIFIED

Team Structure

Client Team

Project stakeholder

*****

Technical Project Lead

***** *****

The client stakeholders at Mayo Clinic were working closely with the team at DAC.digital

Client logo

Agency Team

Production

4 x ML Expert

Governance

1 x Project Manager

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