Advancements in Telemedicine as an approach to healthcare delivery have heralded a new dawn in modern Medicine. Its fast-paced development in our contemporary society is credence to the advances in Artificial Intelligence and Information Technology. This paper carries out a descriptive study to broadly explore AI's implementations in healthcare delivery with a more holistic view of the usability of various Telemedical Innovations in enhancing Virtual Diagnostic Solutions (VDS). This research further explores notable developments in Deep Learning model optimizations for Virtual Diagnostic Solutions. A further research review on the prospects of Virtual Diagnostic Solutions (VDS) and foreseeable challenges was also highlighted. Conclusively, this research gives a general overview of Artificial Intelligence in Telemedicine with a central focus on Deep Learning-based approaches to Virtual Diagnostic Solutions. NTRODUCTION Healthcare and Medicine are areas of modern society which has gained quite an outstanding level of research attention given current antecedents of virus outbreaks and spikes in anomalies regarding human health. Over the years, advancement in Artificial Intelligence and its resonating research areas such as Telecommunication and information technology has stirred up questions and advanced solutions regarding Human health.