Abstract
Machine learning can potentially improve the medical industry by providing
different healthcare opportunities. Medical records that previously required human
intervention can now be processed using a machine-learning algorithm in seconds. It
can learn like humans and adjust to new inputs in a very efficient way. The quality of
treatment has also improved. The correct diagnosis of disease and analysis of additional
data on a patient’s condition using machine learning is helping doctors to make the
process simple and efficient. Doctors can simplify and expedite the process with the aid
of machine learning, which facilitates accurate disease diagnosis and extra data
analysis regarding a patient's condition. Machine learning algorithms also help in
discovering unexpected patterns in clinical trials. But things are not as simple as they
seem to be. Opportunities are always paired with challenges. The results we get from
machine learning algorithms depend on the quality of data we feed into it and there is
no guarantee of the fact that medical data is always precise and accurate. There may be
gaps in records and it may be inaccurate. Lack of quality data to build precise
algorithms can be a major challenge. In this chapter, we will be presenting the
opportunities provided by machine learning in healthcare and also the challenges that
are making things difficult.