AI HEALTH SYMPTOM CHECKER

The AI Health Symptom Checker is an intelligent system designed to help users identify possible diseases based on their symptoms. It uses Artificial Intelligence (AI) and Machine Learning (ML) techniques to analyze user input and match it with known medical conditions. Users can enter their symptoms in text form or upload related images for better diagnosis support. The system processes the data using trained models and predicts the most probable illness. It aims to provide quick, reliable, and accessible health guidance for early detection. This project reduces the need for initial doctor visits for minor issues. It acts as a virtual health assistant, available anytime and anywhere. The system also suggests possible treatments or next medical steps. Overall, this project promotes AI-driven healthcare awareness and self-diagnosis assistance. It contributes to the development of smarter, more responsive digital health solutions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-12
DOI
https://doi.org/10.5281/zenodo.17588838
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI HEALTH SYMPTOM CHECKER

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Healthcare
article

AI HEALTH SYMPTOM CHECKER

article en

Abstract

The AI Health Symptom Checker is an intelligent system designed to help users identify possible diseases based on their symptoms. It uses Artificial Intelligence (AI) and Machine Learning (ML) techniques to analyze user input and match it with known medical conditions. Users can enter their symptoms in text form or upload related images for better diagnosis support. The system processes the data using trained models and predicts the most probable illness. It aims to provide quick, reliable, and accessible health guidance for early detection. This project reduces the need for initial doctor visits for minor issues. It acts as a virtual health assistant, available anytime and anywhere. The system also suggests possible treatments or next medical steps. Overall, this project promotes AI-driven healthcare awareness and self-diagnosis assistance. It contributes to the development of smarter, more responsive digital health solutions.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 22%
Machine Learning in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI HEALTH SYMPTOM CHECKER · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS