Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Personalized HealthCare AI Advisor: Arogyam.ai
0
Zitationen
4
Autoren
2026
Jahr
Abstract
Arogyam.ai is a smart healthtech platform that pairs patients with specialists through safe online consultations. This paper highlights Arogyam.ai’s hybrid approach, which combines human expertise with AI-driven assistance, and presents its conceptual framework, design architecture, key features, and future scope. Arogyam.ai provides quick and convenient access to medical care by enabling patients to consult experts in various specialties such as neurology, cardiology, orthopedics, pulmonology, gastroenterology, gynecology, and urology through chat and video consultations. The platform also includes essential features such as digital payments, prescription generation, and secure document sharing. These tools enhance the quality of consultations and help build a complete digital healthcare ecosystem. By offering immediate clarifications, second opinions, and reliable medical advice, the AI-powered assistant supports patients while addressing challenges like healthcare accessibility and doctor shortages. Scalability and inclusivity are at the core of Arogyam.ai’s mission to transform healthcare delivery globally and create a future where technology ensures equitable and patient-centered medical outcomes.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.549 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.443 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.941 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.