Skin cancer is a serious health threat that affects almost 125,000 new people
diagnosed with melanoma each year. Among the various types of cancer, skin cancer is
one of the most vicious ones. Skin cancer is known for the fact that it often spreads
(moves to other parts of the body over time), and thus, it is harder to treat when
diagnosed later; therefore, early detection is paramount. Dermatoscopy, clinical
assessment, and other visual techniques were some of the primary methods used to
identify skin lesions. The study says that the performance of first-time and
inexperienced physicians could lead to bias in skin lesion diagnosis. Skin cancer can be
life-threatening, but the sooner it is detected, the lesser its chance of killing people.
Much research has shown that IoT does better than the best professional in various
vision-based tasks. This chapter explores the technologies of IoT, for example,
wearable devices, smartwatches, and fitness trackers with UV sensors, skin patches
with sensors for monitoring changes, mobile applications for tracking moles and skin
changes, smart dermatoscopy, and cloud computing approaches for the diagnosis of
skin cancer. The chapter concludes by discussing the role of IoT role in the
enhancement of skin cancer diagnosis and also assists in controlling the general health
of the skin. Besides the advancement of IoT, challenges such as system integration and
patient data privacy have remained critical.
Keywords: Dermatoscopy, Diagnosis, IoT, Skin cancer, Smartwatches.
