Paper Key : IRJ************397
Author: Soham Gholap,Sarthak Ghodkee,Vivek Vanave,Parth Mane,Dr. Dipannita Mondal
Date Published: 01 Jan 2025
Abstract
The integration of artificial intelligence (AI) and machine learning (ML) in healthcare enabled the development of intelligent systems that can medical professionals. The system, presented in this paper, uses AI and ML to streamline the diagnostic process using a assistant. The assistant interacts with patients through capturing their symptom data, previous medical history, and image inputs, analyzing this data to predict resultant diseases, and returning preliminary remedies. The results are then forwarded to a healthcare expert (admindoctor), which decreases the workload and saves time. The proposed system is efficient in pre-diagnosis, providing an innovative solution to optimize healthcare services while ensuring that the doctor has final decision-making authority. Combining multimodal input analysis with human oversight, the system addresses gaps in traditional diagnostic approaches and aims to improve patient care.
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