Science-driven chatbot development

LifeSpring Clinic Intelligent RAG-Based Healthcare Assistant is an AI-powered chatbot that provides accurate clinic information using Retrieval-Augmented Generation. It answers patient queries about doctors, services, appointments, symptoms, and care policies with reliable, document-based responses.

No description available

An open source AI web chatbot that is trained over specific clinic/hospital data to expedite the online patient experience. ClinicChatBot helps to summarize and gather the most relevant medical data that you desire from web content and customer reviews.

Aurleaf is a medical platform that helps users find nearby Ayurvedic clinics, doctors, and hospitals. It offers AI-generated diet plans, exercise routines, and doctor-approved medical products like blood sugar monitors. Users can also access an AI chatbot for queries and book doctor appointments or lab tests using a pincode-based system.

"🚀 Full-stack Medical AI Chatbot using Retrieval-Augmented Generation (RAG). Built with FastAPI, LangChain, and Groq. Features automated CI/CD via GitHub Actions to Docker Hub and scalable vector search with Pinecone."

A Next.js 13 website for a clinic that offers hyperbaric oxygen therapy, featuring blog, server-side content search, interactive map, AI chatbot and online appointment system.

Abstract: Chronic diseases have affected many people globally and causing morbidity, and modality—the impact of chronic disease related to people’s lifestyles and their choices of habits like food, among others. Also, a model that immune and improves patients' lifestyle and habits by giving guidance and follow-up for future symptoms. As seen that there is high demand for specialists/experts in that field. Only a few studies have considered reducing the workload and exhaustion of physicians during the treatment phase. This article aims to provide a preliminary assessment of the Chatbot health system, a conversational agent-assisted health guiding framework to help doctors cope with burnout and provide continuous treatment to their patients. The approach is taken to create the chatbot dialog, and the guiding system is presented in this paper. As a result, talk about the first patient profiling technique for classifying patients based on their cholesterol levels. The machine then makes recommendations to the expert on tasks to include in the patient’s guidance in dialogue. This study makes three significant contributions to disease complications prevention (i.e., preserving a healthier lifestyle): (1) It provides the specialist/expert with a conversational agent to support patients; (2) It reduces experts’/specialists’ workload and safe their time to improves patient care by categorizing patients into groups, each group has its case scenario, that would help to follow up with patients until he visits a clinic/hospital for drugs or meeting doctors face-to-face; and (3) It gives the physician physical/nutrition activity guidelines when creating a general patient activity guiding choices based on his cholesterol level whether its normal, abnormal, or risk.

Developing an intelligent medical chatbot for health guidance, issue identification, and clinic recommendations. Join us in revolutionizing healthcare accessibility during this hackathon!

A chatbot for HealthWise Clinic that uses OpenAI and RAG for accurate responses, built with Next.js and Astra DB.

AI-powered medical clinic chatbot using Model Context Protocol (MCP) with Google Gemini AI. Features appointment management, clinic information retrieval via ChromaDB vector search, and a responsive React frontend. Built with Node.js, MongoDB, and MCP Server architecture.

No description available

building chatbot to book appointments with doctors, diagnostic tests, clinics, hospitals

FRONTEND Fullstack web application for a veterinary clinic, featuring an email call-to-action, AI-powered chatbot, marketplace, appointment scheduling, veterinarian CRUD, client CRUD, pet CRUD, treatment sales, and an admin dashboard for full system control and real-time clinic insights.

This TypeScript-based chatbot aims to streamline the process of booking and confirming appointments for an alternative medical clinic. The bot utilizes Google Calendar and OpenAI to automate the appointment booking process.

A modern, full-stack dental clinic management system built with React, TypeScript, and Supabase. Features patient management, appointment scheduling, financial tracking, WhatsApp integration, AI chatbot, and comprehensive admin dashboard. Includes , role-based authentication via Clerk, and real-time updates.

Columbia DSI Capstone in partnership with Mayo Clinic. Patient-aware RAG chatbot that answers questions about bowel preparation.

Assistente clínico conversacional integrado com servidor FHIR (Blaze), Chainlit, LangChain e RAG ICD-10

No description available

Clinical NLP Toolkit: RAG-based chatbots specialized in Turkish clinical notes, developed during an internship at ECD Software as part of a collaborative project with Turkcell.

LLM based RAG app where Clinicias can chat with longitudinal unstructured patient data and summrize medical history.

A dental clinic system using a chatbot and dockerized services

AI Medical Assistant Chatbot — A chatbot that handles FAQs and appointment bookings for primary care clinics.

Chatbots from a veterinary clinic to make an appointment for a pet. Example in Rasa, Dialogflow and FlowXO

Dental clinic website with RAG-powered AI chatbot using n8n, Groq LLaMA 3.3, vector store, and Google Calendar booking

BACKEND - Fullstack web application for a veterinary clinic, featuring an email call-to-action, AI-powered chatbot, marketplace, appointment scheduling, veterinarian CRUD, client CRUD, pet CRUD, treatment sales, and an admin dashboard for full system control and real-time clinic insights.

This chatbot utilizes the asp.net console application using C# to make a reliable chatbot that can also perform multiple calculations. This can be a stepping stone for a clinic to reduce high inquiry pressure during peak times.

Um exemplo de um ChatBot para uma clínica médica usando DialogFlow, Glitch, SheetDB.io com uma planilha Google, e outras APIs

Psychiatrist Clinic Chatbot using AWS services

AI chatbot for clinics offering appointment booking and clinic Q&A.