|0||Clear||No Inflamatory Signs of Atopic Dermatitis|
|1||Almost Clear||Just perceptible erythema and just perceptible papulation induration|
|2||Mild||Mild erythema and Mild papulation induration. No oozing or crusting.|
|3||Moderate||Moderate erythema and Moderate papulation induration. Oozing and crusting may be present.|
|4||Severe||Severe erythema and Severe papulation induration. Oozing and crusting is present.|
Currently calculating IGA is a manual task which that requires multiple process and procedures hence it takes long time.
As differrent human may have different perspective on same case, Same patient can be rated differently by two people.
IGA is supposed to be an objective score but since it is done manually it depends on the judgement of the person doing the assessment.
Non standardization of IGA calculation can be misused to get reimbursed breaching the law.
(AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Artificial intelligence (AI) tools are steadily enhancing throughout medicine, particularly in dermatology. As they are becoming more prevalent, we tried to inculcate in our application to provide quick and accurate results.
It is an aspect of artificial intelligence (AI) that is concerned with emulating the learning approach that human beings use to gain certain types of knowledge. At its simplest, deep learning can be thought of as a way to automate predictive analysis. for example, a database of images of healthy skin as well as the skin of Eczema patients can be fed into a machine learning algorithm that picks up features such as colour and skin texture from the labelled photographs, allowing it to learn how to diagnose eczema.
Get analysis from regular smartphone
Minimum human judgement
No human error
Works on most smartphones
Reliable & accurate
Results are standardized
Easy to approve or
Justify and prove the
efficacy of their medicines