Campus Ideaz

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The problem:

Melanoma is a type of skin cancer that is rapidly growing worldwide. Although it is usually not deadly, it still has many symptoms like unhealable sores, irritated skin, etc. Similar to other cancers, the easiest and best way to treat it is all dependent on early detection of the cancer. Despite the existence of some apps that analyze skin symptoms to see if melanoma is forming, many patients still discover the cancer far too late. Current solutions also have limitations like lacking clinical validation, failing to analyze many diverse skin tones, or being unable to provide proper follow up care. 

The solution:

This is why I propose an AI-powered image processing API that can analyze and monitor a patient's skin. Melanoma is detectable upon 5 rules, ABCDE of moles: 

  • Asymmetry: One half doesn’t match the other half
  • Border: irregular borders 
  • Color: Colors changing across different moles
  • Diameter: larger than 6mm
  • Evolution: changing in size, shape or behavior

Patients can use their smartphone camera and upload it to the API and the AI, which is trained on a database of multiple varied skin tones and their behaviors, would analyze the photo with image processing and determine a risk factor of the patient. For patients experiencing a medium risk factor, we would suggest some lifestyle tips on how to move forward and continue tracking their progress. For patients experiencing a high risk factor, we would recommend dermatologists to visit nearby in hope that they can fix their condition. 

Who benefits:

Any patient experiencing skin irregularities.

Doctors, as it helps catch skin cancer earlier and prevents more work needed to be done to treat the patient

Hospitals, as I am selling this API to dermatologists to be able to easily treat their patients without the attention of a doctor all the time.

 

Why this matters to me:

Cancer is of course a horrible disease to be diagnosed with. Having the ability to be able to catch it earlier greatly increases the chance of it being cured.

Technical Details:

I would make an API that could be integrated with a hospital website or app. Many apps now are made to track the heart, lungs, brain etc, and it would be very simple to add one more feature that I could sell to them.

Votes: 17
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Comments

  • Your idea is really thoughtful and could make a big difference in catching melanoma early. It would help to mention where the image data will come from and how you’ll make sure it represents all skin types and situations for each skin type. Keeping the data accurate and up to date will also make your system more reliable.
  • Smart idea Varun! It shows good potential in AI and medical scene and is made for a really good purpose. It can definitely help many lives even if melanoma is not as dangerous as other cancers.
  • Your concept shows great promise in medical AI innovation. It would be even stronger if you elaborated on how the dataset will be validated and updated to reflect real-world variations in skin conditions.
  • Great idea Varun! AI to detect melanoma efficiently by sharing follow-up steps. One area to refine is explaining how the database will be sourced and kept diverse enough to ensure accurate results for all skin tones.
  • This idea is innovative and impactful in healthcare. I think it can be helpful to many people especially those uneducated on melanoma. It would benefit from more details on how the ML’s accuracy will be tested and verified by medical experts.
  • Very impactful concept. I think it can be game-changing to medical department. But there are not a lot of details on how the LLM will be trained to be better than the current resources you stated.
  • Your idea shows strong potential in improving early melanoma detection. You could better it by explaining how patients will be guided after receiving their risk results in more detail than further steps. For example, what may have caused and perhaps habit changes to improve skin health.
  • This is a good idea. I think a B2B model with hospitals may be difficult though as there would be a lot of tools needed to ensure patient safety keeping information strictly kept to the rules of a hospital.
  • Really good idea! I like how you are innovating on a topic that is already present in the world. Only criticism I have is how to deal with borderline cases. There can be situations where the app may see reason to worry. But an official dermatologist might see nothing present.
  • Great idea Varun. Your idea handles a meaningful health issue with strong technical potential. I would be careful though on making this a business. I know of a few resources that complete the same task pretty well. But definitely something that can be improved on.
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