AI-Powered Universal Medical Chatbot Robot: A Comprehensive Healthcare Companion System for All Age Groups
Paper i proceeding, 2025

This document outlines the design and development of an innovative Medical Chatbot Robot (MCR), which functions as a comprehensive AI-driven universal healthcare companion system. In contrast to existing solutions that cater to specific demographics, our proposed system meets healthcare requirements for all age groups through a tabletop physical robot platform that is integrated with advanced artificial intelligence capabilities. The MCR amalgamates medication management, health awareness initiatives, emergency response, predictive analytics, and telemedicine integration into a cohesive platform. This system is based on a cloud-edge hardware combination with voice-forward interaction design, which supports multi-modal interaction through the voice, touch, and visual interface. Remarkable capabilities are smart medication reminders with visual feedback, comprehensive symptom check with the application of verified medical APIs, real-time health tracking due to IoT device integration, and automated emergency procedures. Our assessment model reveals tremendous possibilities to improve medication intake and reduce healthcare expenditures, as well as increase access to quality healthcare advice. The system meets key challenges in the field of healthcare delivery, including workforce shortage, non-adherence to medical prescriptions, and limited access to health education. The outcome of the implementation is promising in terms of potential application in any type of healthcare contexts, making this technology a groundbreaking solution to the issue of proactive healthcare management in the age of digitalization

Medical Chatbot

Healthcare Robot

Telemedicine

Medication Management

Artificial Intelligence

Universal Healthcare

IoT Health Monitoring Introduction

Författare

R. Banu Prakash

Vel Tech

V. Dhilip Kumar

Vel Tech

Anish Verma

Vel Tech

Rupshree

Vel Tech

Oana Geman

Data Science och AI 2

Göteborgs universitet

2nd International Conference on Artificial Intelligence for Innovations in Healthcare Industries Icaiihi 2025


9798331582678 (ISBN)

2nd International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2025
Raipur, India,

Ämneskategorier (SSIF 2025)

Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi

Datavetenskap (datalogi)

DOI

10.1109/ICAIIHI67124.2025.11403764

Mer information

Senast uppdaterat

2026-06-22