Diagnostic A.I.

Team: 26

School: Justice Code/International/Harrison

Area of Science: Computer Science


Proposal: Project Proposal
Team Number: 26
Team Captain: Chinyere Offor
Sponsor: Brown, Campbell, Palmer
Mentor: TBD




Our project problem is an inquiry about whether or not it is possible to code an A.I. that can accurately identify and diagnose diseases. Our research question is: Would it be plausible to create or code an A.I. that can accurately recognize and diagnose disease in a medical setting? A.I.’s for this purpose do exist but are incredibly hard to integrate into the rigorous environment of a hospital, especially to the point where it can diagnose diseases faster than a human being. We hope to built an A.I that is capable of diagnosis after being given smpotoms, medical history, ethnicity/race, and other variables. Near the end of this we hope to have a cohesive model that can identfiy a range of diseases varing in difficulty to diagnose. There are a number of factors that must be considered when we try to create a model for this purpose. We would need to either find or compile an accurate database that the A.I will use to find the disease that most accuratly fits the bill through a process of elimination. We also plan to make the A.I. compatible with the software commonly used in hospitals.


Team Members:

  Mekhi Bradford
  Kingsley Walker
  Chinyere Offor
  Noel Emma-Asonye

Sponsoring Teacher: Caia Brown

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