Towards Intelligent Healthcare: Integrating AI for Pill Detection, Symptom Analysis, and Pharmacy Routing
Year: 2025
Type: article
Abstract: The integration of artificial intelligence (AI) into healthcare systems offers transformative potential, enabling enhanced patient care and operational efficiency. This paper presents a comprehensive AI-powered healthcare solution focusing on three core functionalities: pill identification, symptom-based consultations, and medical navigation. The pill identification module levennbn rages advanced image recognition algorithms to accurately classify medications, reducing the risks of incorrect drug administration. The symptom-based consultation system employs natural language processing (NLP) and machine learningmodels to provide personalized medical advice by analyzing patient-reported symptoms and crossreferencing medical databases. Lastly, the medical navigation tool assists users in efficiently locating nearby healthcare facilities, specialists, and pharmacies, ensuring timely access to critical services. This AI-driven approach streamlines healthcare delivery, improves diagnostic accuracy, and empowers patients with accessible, on-demand medical assistance.
Author: Mr.Amol Bhausaheb Avhale, Mr.Gaurav Sopan Adke, Mr.Gautam Kiran Gosavi, Miss.Kimaya Mahesh Kurhe, Prof.Devyani Sharma
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6949276256
FWCI:
Cites:
Cited by:
Related to: