Chikitsa AI: symptom checker and triage assistant for primary care
Year: 2026
Type: article
Abstract: ChikitsaAI: Symptom Checker and Triage Assistant for Primary Care is an AI-powered healthcare support system developed to provide preliminary medical guidance based on user symptoms. The project focuses on improving accessibility to primary healthcare services by offering quick symptom analysis, disease prediction, and risk assessment through an intelligent digital platform. The system is designed using Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) technologies to simulate basic clinical reasoning and assist users in understanding their health conditions. In many regions, especially rural and underserved areas, access to healthcare professionals is limited due to factors such as shortage of doctors, high consultation costs, overcrowded hospitals, and long waiting times. Patients often delay seeking medical attention because they are unable to determine whether their symptoms are serious or minor. This delay can sometimes lead to worsening health conditions and increased medical complications. ChikitsaAI aims to address these issues by providing an intelligent and accessible healthcare assistant that helps users receive basic medical guidance at an early stage. The system allows users to enter symptoms in natural language through a chatbot or web-based interface. NLP techniques are used to process and interpret the entered symptoms by extracting medical keywords and contextual information. The processed symptoms are then analyzed using Machine Learning algorithms trained on medical datasets containing symptoms and disease relationships. Based on the analysis, the system predicts possible diseases or health conditions associated with the symptoms provided by the user. In addition to disease prediction, ChikitsaAI includes a triage mechanism that evaluates the severity of symptoms and categorizes patients into different risk levels such as emergency, moderate, or low-risk cases. This feature helps users understand whether immediate medical attention is required or if the condition can be managed through self-care and routine consultation. Critical symptoms such as chest pain, breathing difficulty, severe fever, or unconsciousness are flagged as emergency conditions, while mild symptoms may receive preventive suggestions and healthcare recommendations.
Institution: East West Institute of Technology
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225380347