International Journal of Science, Engineering and TechnologyAuthors: Aman Gupta, Assistant Professor Raj Kumar, Aditya Kumar, Yash Raj, Ankita Singh
Abstract: In recent years, the integration of digital technologies and Artificial Intelligence (AI) in the healthcare sector has significantly transformed the way medical services are delivered. Despite these advancements, many healthcare systems still face challenges such as delayed diagnosis, lack of immediate medical assistance, inefficient handling of medical records, and limited availability of medical professionals, especially in remote and rural areas. These challenges often result in increased health risks for patients and reduced efficiency in medical services. To address these issues, this project titled “MediBox – AI Powered Medical Diagnosis & Consultation System” has been developed. MediBox is a web-based healthcare platform designed to assist patients in obtaining an initial medical diagnosis using AI-based analysis. The system allows patients to upload medical reports, describe their symptoms, and submit health-related information through a user-friendly interface. The AI component of the system processes this data to generate preliminary diagnostic insights, which serve as decision-support information rather than final medical conclusions. A key feature of the proposed system is the integration of human expertise with AI intelligence. All AI-generated diagnostic results are forwarded to registered medical professionals for review and verification. Doctors can analyze the AI suggestions, approve or modify the diagnosis, and provide expert recommendations. This hybrid approach ensures accuracy, reliability, and ethical use of AI in healthcare, reducing the chances of incorrect diagnosis while improving overall efficiency. The MediBox system provides separate dashboards for patients and doctors, ensuring role-based access and secure handling of sensitive medical data. Patients can manage their medical history, view previous diagnoses, and track consultations, while doctors can efficiently manage patient requests and diagnostic reviews. Strong authentication mechanisms and data security measures are implemented to protect patient confidentiality and privacy. In conclusion, MediBox aims to bridge the gap between patients and healthcare professionals by combining Artificial Intelligence with medical expertise. The system enhances accessibility to healthcare services, reduces diagnosis time, and supports better clinical decision-making, making it a reliable and scalable solution for modern healthcare systems.
