Year: 2025
Type: article
Abstract: : The integration of Artificial Intelligence (AI) in healthcare has made significant advancements in medical consultations, disease detection, and on-demand doctor recommendations. AI chatbots in the medical field have become crucial for boosting the standards of patient care. This development is due to the breakthroughs in Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning (ML). However, most systems are limited by their ability to scale, accuracy, and real-time support responsiveness. This paper reviews a wide range of AI-powered medical chatbots and evaluates their capabilities. It then puts forward a unique design for an AI medical chatbot that incorporates NLP, OCR, and real-time doctor recommendations so that it can assess medical reports, respond to questions, and provide details of healthcare facilities with consultative services. The new system surpasses the existing chatbots by enhanced scalability and accurate medical information as well as reliable, real-time tailored recommendations. The focus of this paper is to compare the proposed system with the existing solutions while demonstrating it as a more advanced comprehensive healthcare assistant. Focus is also provided on the findings to showcase the promise in transforming medical assistance to patients and professionals in terms of responsiveness and efficiency
Author: Juliet Johny
Institution: HKBK College of Engineering
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410360454