The impact of artificial intelligence on remote healthcare: Enhancing patient engagement, connectivity, and overcoming challenges

Abstract

The incorporation of advanced telemedicine technologies is helping artificial intelligence transform remote healthcare in the enhancement of patient care, diagnostics, monitoring, and overall medical treatment. This review examines how AI has transformed virtual healthcare with regard to patient engagement and connectivity, real-time monitoring of health status, and the accuracy of diagnosis. Key applications of AI, such as AI-enabled diagnostic systems, predictive analytics, and teleconsultation platforms, are reviewed for their strengths in overcoming the limitations of the traditional models of remote healthcare. This review consists of case studies on the applications of AI in different healthcare domains, such as cardiac monitoring, diabetes management, mental health teletherapy, and dermatology. It also looks into the ethical and regulatory challenges that arise, including bias in AI, data privacy, and accountability, in a way that emphasizes the necessity for robust regulatory frameworks in safeguarding patient safety. Future directions for AI innovation include such emerging technologies as 5G, blockchain, and IoMT, among others, that “will usher in a new era of remote healthcare delivery.”

Keywords

Artificial intelligence / Remote healthcare / Telemedicine / Predictive analytics / Patient engagement / Healthcare ethics / Internet of medical things / Regulatory challenges

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