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Medical Diagnosis Anywhere, Anytime

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Frank Zhou

Davesh Valagolam

Co-Founder of I.D.S

Designer

Co-Founder of I.D.S

Coder

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Issue

  • Every year in the United States, over 18% of the nation’s GDP is spend in healthcare.
  • Diagnostic imaging is a significant contributor to healthcare spending.
    • Over $100 billion.
  • 12 million misdiagnosed per year.

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Issue

  • 99.3% of people around the world have a mobile phone

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  • Current technologies, like WebMD, are often complicated and can be misinterpreted

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Software Used

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RNN Machine Learning

  • Recurrent Neural Network(RNN) are a type of Neural Network where the output from previous step are fed as input to the current step.

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  • Restoring and saving checkpoints of the learned variables along the way.

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  • Every run of the below cell will resume training from wherever the previous run left off.

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RNN Machine Learning

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Lung Imaging

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Minimum Viable Product

  • We mainly focused on diagnosing melanoma and pneumonia. This is what our app would be most used for.

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Business Model

  • As our app popularizes, we will start putting ads.

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  • We will also add monthly and yearly subscriptions.

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Future Research

  • We seek to implement VR and AR for CPR training and other essential medical information
  • We aim to expand our database and apply to other services, such as breast cancer detection, an enlarged heart, and blocked blood vessels to classify more accurately and save lives.

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Thank You for Listening!

Any Questions?