Citation:

Datta Snehith Dupakuntla Naga, Ashim Gautam Upadhaya, Minal Vipul Patel, 2025. "Advancing Inclusive Telehealth Through Automation Using Artificial Intelligence: Opportunities, Challenges, and Future Directions", ESP Journal of Engineering & Technology Advancements  5(2): 178-181.

Abstract:

Artificial intelligence (AI) shall be the core factor that influences telehealth by improving access to care, personalization, and efficiency. This article explores AI-driven telemedicine innovations in real-time diagnostics, remote patient monitoring, and administrative automation while discussing issues of algorithmic bias and data privacy. We review the existing literature to answer the question of how AI models like Med-Gemini and tools such as AI scribes can enhance clinical decision-making while mitigating provider burnout. Case studies will provide evidence of such capabilities for bridging healthcare disparities in underserved regions; ethical considerations will highlight the importance of implementing such systems equitably. In conclusion, the study found that AI holds transformational opportunities in changing healthcare accessibility to become more democratized. For responsible innovation, that means sustained collaboration among technologists, clinicians, and policymakers.

References:

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Keywords:

Accessibility, Administrative Efficiency, AI-Driven Diagnostics, Algorithmic Bias, Chronic Disease Management, Data Security, Equity, Healthcare Disparities, Total Wellness, Fitness, Med-Gemini, Patient Monitoring, Provider Burnout, Remote Care, Telehealth, Trust Gaps.