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.

该研究论文探讨了人工智能在远程医疗、虚拟诊断解决方案及其优化方面的应用，重点关注基于深度学习的虚拟诊断解决方案，并展望了其未来挑战和前景。