Artificial Intelligence in Healthcare

Running Head: ARTIFICIAL INTELLIGENCE IN HEALTHCARE
Artificial Intelligence in Healthcare
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ARTIFICIAL INTELLIGENCE IN HEALTCHARE 2
Artificial Intelligence in Healthcare
Introduction
The artificial intelligence (AI) purposes to mimic human cognitive roles. AI has the
potential to improve the health outcomes by growing accessibility of healthcare data plus fast
development of analytic methods. There is no doubt that the artificial intelligence (AI) will play
a crucial in transforming the healthcare. It is improbable that computers, as well as robots will
completely replace physicians and nurses, but AI cannot be underestimated in its endeavours to
transform the healthcare sector (Mesko, 2017). AI will not only predict outcomes plus improve
diagnostics, but it will also change the manner the healthcare providers reasoning concerning
how to provide safe and quality care to their clients. The paper will argue that artificial
intelligence will play a crucial role in transforming the healthcare sector.
Improving Medical Diagnostics
Diagnostic errors are grave risk to safety and quality in the healthcare sector. It has been
approximated that the frequency of outpatient diagnostic errors is around 5.08 per cent in the
United States (US) that is about 12 million annually. AI has been used to advance the quality, as
well as safety of health diagnosis, particularly in radiology because of the huge capacities of
medical imaging data. Artificial intelligence has the capacity to improve diagnostics and
eliminate the problems of misdiagnosis in the healthcare sector (Kim, Cho & Yoon, 2015). Fast
research plus cross-referencing of data through AI will result in better diagnosis of diseases. The
results as well comprise handwritten notes, geospatial and sensor data plus test results. The AI
will totally revamp the negativities of scanning machines through offering greatly accurate inputs