The necessity of implementing new options to improve telemedicine has gained much importance in recent years. Among all the available technologies, photoplethysmography is turning out to be a promising resource. Its cost effectiveness and its usability allow its embedding in several devices without the need of constraining requirements. In this paper, we explore how artificial intelligence-based approaches could improve the photoplethysmography use by leveraging its potential and minimizing its disadvantages.