Skin diseases are among the most prevalent issues in contemporary times
that must be examined. The diagnostic process is still based on the opinions and
expertise of medical professionals. A wrong diagnosis, diagnostic lag, or an inability to
diagnose can have serious or fatal outcomes. The Internet of Things implies
connectivity, heterogeneity, and a huge number of devices joining daily as technology
advances and puts away insightful gadgets’ floods massively. This has led to a need for
context-aware platforms anywhere and everywhere. Nonetheless, this divergence of
knowledge needs to be integrated and unified to prepare the ground for achieving the
goals above and firmly establishing the IoT paradigm. This chapter highlighted the
employment of IoT devices for remote monitoring of skin conditions using wearable
devices, smart sensors, and mobile applications. It also highlights IoT Technologies
(such as AI and machine learning, cloud computing, big data analytics, and
telemedicine platforms) for remote monitoring of dermatology. It concluded by
discussing the application of IoT in remote dermatology.
Keywords: Cloud computing, Dermatology, IoT, Remote monitoring, Smart sensors.
