Artificial Intelligence and Machine Learning in Telemedicine: Transforming Remote Healthcare

The concept of telemedicine developed before the upsurge of popularisation of telehealth services, particularly with the support of Artificial Intelligence and Machine Learning. This review aims to deeply analyse how these technologies integrate and change telemedicine, improve the diagnostics of diseases, help in the treatment process, and provide more accessible healthcare. Predictive analytics, natural language processing, and tele-therapy monitoring are examples of the ML and A.I. technologies used in patient care management. This is the time of more intelligent and more effective remote care services with the help of several innovative technologies and phenomena like A.I. health chatbots and intelligent treatment algorithms. However, several factors limit its development, including data privacy, legal issues, and users' access to technologies. Directions for further development and continuous healthcare improvement include integrating advanced 5G communication systems and wearables and exploiting blockchain technology for data interchange. These developments create prospects to eliminate current impediments and enhance the provision of healthcare services worldwide. This scope consists of mechanisms for the best present data, emphasizing growth areas of new technologies, especially artificial intelligence and machine learning, that transform healthcare systems.