Towards Intelligent Healthcare: Integrating AI for Pill Detection, Symptom Analysis, and Pharmacy Routing
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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-08
- DOI
- https://doi.org/10.5281/zenodo.15361869
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00