Cyto Sherlock

Cyto Sherlock: Because even Sherlock Holmes needs a Watson (with a microscope). We're your AI Watson, analyzing slides, suggesting diagnoses, and building patient chatbots with laser focus.

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Inspiration

'Cyto Sherlock: Born from Need, Fueled by Innovation

Pathologists, our medical detectives, face a growing workload and fatigue. AI steps in, not to replace, but to shoulder the mundane, freeing them to focus on the intricate puzzles. Error creeps in? AI acts as a vigilant second opinion, sharpening the diagnostic blade. Faster diagnoses, personalized chatbots answering questions, and increased access to quality care in remote areas are all part of this vision. AI can empower patients and free up pathologists to provide focused care for complex cases.

What it does

This AI system helps pathologists analyze complex tissue samples to improve accuracy in diagnosis. Gives diagnosis Analysis and a helpful chatbot which can help them determine unseen possibilities of underlying disease

How we built it

Built it using AWS Party Rock and some input data

Challenges we ran into

Being a computer Science student getting correct input data like tissue descriptions were hard as i have very less idea on these .

Accomplishments that we're proud of

The diagnosis and the chatbot were very useful for those who actually used it mostly students who are perusing medical science they were able to explore more on what else might be the issue with the patient .

What we learned

AWS party rock helped me gain insights on how the prompt engineering works

What's next for Cyto Sherlock

Would love to add image based analysis on different tissue i am still working on it. Which would make it easier for doctors to analyze and work on them

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