A Review of LLM-Based Multimodal AI Chatbots for Dermatological Diagnosis with Focus on Atopic Dermatitis

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Authors: R. Ahila, Trishala AG, Dr.P. Amudha
Cited by: 0

Abstract

Abstract - The Atopic dermatitis is an inflammation of the skin that weakens the skin barrier and causes dry, reddish, and persistent irritation. The study proposes an LLM-enabled multimodal chat assistant to raise awareness of this chronic skin ailment and its causes among those who are unaware of it in rural locations. Observing the skin photos and indicating whether or not they have this ailment. and answering questions regarding this skin condition using a voice assistant. using CNN, and it serves as individual guidance for those affected with the particular illness. Patients can monitor the current state of skin irritation at any time from anywhere in the nation by using a web interface, which is very accessible for working people and those in other sectors who are unaware of it. And developed as a app for the people who can able access in limited amount of time it will be helpful for both urban and rural areas. Key Words: Atopic Dermatitis , Skin condition, Large language model, Convolutional Neural Network, Skin Disease Prediction .

Fields of Study & Subjects

Digital Mental Health Interventions Mobile Health and mHealth Applications AI in Service Interactions

Publication details

Journal / source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume
10
Issue
01
Pages
1–9
Publication date
6 January 2026