The Managerial Capstone Project

The Managerial Capstone Project
Role of Artificial intelligence and machine
learning in improving clinical diagnosis
and patients care in developing countries:
a systematic review of the literature
Submitted in partial fulfillement of the
requirements for the degree of the Global
MBA
By Ahmed Ben Sassi
Student Reference : 1931293
University of Bedfordshire

4. Research findings
After conducting online research on effects of artificial intelligence and machine learning in developing
countries. 50 documents and 100 articles were reviewed online using PRISMA method of analyzing the
result research. The following were findings:
Artificial intelligence impact clinical diagnosis and patients care in developing countries
More than 80 articles were analyzed on how artificial intelligence can be used to improve
medical research and activities in the developing countries. During the research I managed to
gather data showing on how natural language processing through artificial intelligence can save
time of recording data by doctors in this nation (Jiang et al, 2014). Research also showed how
data from smart algorithm through screening of mammograph strategy in developing countries
healthcare can help through use of electronic medical report results, the cancers chances can be
analyzed and be shown by use of artificial intelligence results Lowr (2012).
Challenges in developing countries
The research found out that there were various challenges machine learning was facing in
developing countries. The lacking of machine learning resources was a major problem. Out of
100% recruiters, 65% of the recruiters in developing countries believe that no relevant skills are
sought after in a population according to online articles. The research also found out that the cost
for acquiring machine learning talent was so high such that annual pay is between $300,000 to
$500,000 which is very expensive for developing countries Scherer (2015).
5.Discussion
By adopting artificial intelligence developing countries have been posed by several challenges when
adopting artificial intelligence. This challenge is due to small economy that cannot support their artificial