A.I. Tech and Its Future Development in Healthcare

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A.I. Tech and Its Future Development in Healthcare
Introduction
Artificial intelligence is a branch of computer science that endeavors to analyze
complex data with a goal of facilitating decision making. Artificial intelligence has had a
great role in the development of healthcare. It has been integrated with the larger health care
sector assisting in making decisions to improve on the performance of human care providers
(Szolovits 65). A. I in healthcare has been essential in facilitating practitioners to make
decisions based on insights from past data. The following paper seeks to discuss various
avenues in which artificial intelligence has been actively been used in the medical sector. It
further explores ways in which the use of artificial intelligence can help in improving the
efficiency of healthcare services.
Artificial intelligence assists in expanding, sharpening and improving the ability of
doctors to undertake an activity. The use of A.I is not aimed at pitching the human mind
against robots, but improving the efficiency of the process of decision making (Patel et al 10).
The use of A.I in medicine dates back to the 1970s. The early use of A.I involved the
cooperation of chemists, philosopher's computer scientists and geneticists. The collaboration
led to the development of groundbreaking inventions that would lay the foundation for the
development of artificial intelligence in medicine (Acampora 2480). Biomedical informatics
gained the most interest among scholars due to its large influence on the healthcare sector.
The use of artificial intelligence in medicine has been advocated due to its huge advantage

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over traditional analytics techniques (Lukowicz 96). It has facilitated better clinical decision-
making process as clinicians and healthcare professionals have enough data to make clear and
concise decisions.
The use of brain-computer interfaces had drastically improved the quality of life of
patients suffering from strokes and locked in syndromes. It has further been extensively used
for patients with spinal cord injuries (Jiang et al., 232). The brain-computer interface
combines artificial intelligence to decode neural activities related to hand movement. This
further helps an individual to experience and communicate like a healthy person.
The use of artificial intelligence is also bound to improve the quality of data obtained
from radiology tools. It's key to note that radiological images still depends on the diagnostic
analysis of physical tissues to obtained biopsies (Nealon and Moreno 10). There is room for
the use of artificial intelligence in the improvement of images as obtained from radiological
tools. This will take away the need for the use of physical samples obtained from an
individual (Ashrafian, Darzi, and Athanasiou 40). Artificial intelligence will enable
clinicians to be able to harness image-based algorithms to identify phenotypes and genetic
properties. The expansive use of artificial intelligence will enable hospitals suffering from
inadequate staff to maximize on other diagnostic activities. This will mitigate the shortage of
qualified staffs since most diagnostic duties will be taken over by artificial intelligence
(Ramesh et al. 334). The uses of A.I have been proven to have a high accuracy that is
comparable to a human in some instances.
Clinical documentation is an essential field in which artificial intelligence has been
used successfully over the year starting with electronic health records. The clinical
documentations such electronic health record is one of the avenues in which the medicine
field adopted the use of artificial intelligence. The record possesses the ability to contain all

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the physical and physiological attributes of patients (Machado et al 438). This includes their
past medical history as well as illnesses. This is a field that can be expanded through the
inculcation of voice recognition dictation which will enhance the clinical documentation
process. Some have even suggested the inclusions of video recordings in clinical
documentation.
The recorded videos will be essential in the future after they have been indexed for
future information retrieval. The expansive use of virtual assistants such as Amazon's Alexa
and Siri in homes provides the potential of having the virtual assistants in hospitals. This will
prove to be significant as they will improve the accuracy of care offered to patients in
hospitals. There has been an increasing shortage of nurses in hospitals as a result of the rise in
patient visiting hospitals (Sutikno et al 201). The virtual medical assistant would have a huge
advantage over humans as they have relatively better efficiency and accuracy. They would
not have impaired judgment as a result of increased fatigue.
Drug resistance is a serious menace facing the healthcare sector. It arises when there
is an overuse of critical drugs which leads to the evolution of superbugs which do not respond
to treatments. This poses a threat to the whole population as the superbugs are transmitted to
other parts of the population as drug-resistant superbugs, therefore, increasing the level of
resistance in the population. Scientists have recognized the need for the use of artificial
intelligence in securing the records of patients. The use of electronic records helps in clear
identification of patients with past infections and their level of risks (Lu et al. 370). This will
be essential in halting the spread of superbugs. Scientists will leverage on the use of artificial
intelligence and machine learning to improve the analytics which enhances the level of care,
speed, and accuracy of services provided. Artificial intelligence will, therefore, assist in
improving the level of infection control and antibiotic resistance by utilizing the large data