Artificial intelligence or AI is an
area of computer science which emphasizes in creation of smart machines which
work & reacts like humans. The AI in healthcare uses software and an
algorithm to fairly accurate human cognition in analysis of composite medical
data. Diabetes is a metabolic disorder illustrated by the lack of insulin in
the pancreas. The main cause of the diabetes is mellitus includes genetics and
unhealthy lifestyle. Diabetes mellitus condition in which a person has high
blood glucose levels. Insulin-dependent (type 1) diabetes which can be
controlled by monitoring the blood glucose levels and blood tests which are
performed throughout the day by adjusting the insulin levels based on such
readings. This invasive method is time-consuming, inconvenient, painful, and
not good enough for managing a dynamic & complex disease condition for
instance diabetes. In addition, the non-invasive methods of blood glucose
measurements including insulin delivery are under the development.
The diabetes cure is dependent on
the type of diabetes, and its strictness. The technological development is
expected to be more advanced in AI is expected to continue and will remove the
disorders related to diabetes mobile solutions & healthcare sector.
According to study, “Global
Artificial Intelligence in Diabetes Management Market: Drivers, Restraints,
Opportunities, Trends, and Forecasts to 2023” the key companies
operating in the global artificial intelligence in diabetes management market
are IBM Corporation, Tidepool, Apple Inc., Bigfoot Biomedical, Glooko Inc.,
XBIRD, Sensyne Health plc., Google Inc. Diabnext, Vodafone Group Plc., Livongo
Health, Medtronic, medicsen, PredictBGL, DreaMed Diabetes, Ltd., GlucoMe,
Hedia, Sweetch, Virta Health Corp, TypeZero Technologies, Inc., Wellthy
Therapeutics Pvt Ltd. These vendors come with a thought of several applications
in diabetes management which would facilitate in controlling & managing
diabetes. In addition, the increase in use of mobile phones permitting these
vendors to design apps which directly or indirectly assist to manage the
diabetes mellitus.
Based on device type, global
artificial intelligence in diabetes management market is classified into
diagnostic devices, glucose monitoring devices, insulin delivery devices and
other devices. Based on type of techniques market is segmented into intelligent
data analysis and the case-based reasoning. Based on type of methods the market
is segmented into convolutional neural network (CNN), fuzzy logic or fuzzy
system, random forest, Support vector machine (SVM), multilayer perceptron,
logistic regression, K-nearest neighbors algorithm and natural language
processing. Based on application form market is segmented into predictive
population risk stratification, clinical decision support, automated retinal
screening, patient self management tools and others. In addition, based on
end-users, market is segmented into diabetes management centers, hospitals
& clinics and research institutes.
The global artificial intelligence
in diabetes management market is primarily driven by rise in urbanization. Some
of the driven factors include obesity pandemic, favorable demographics and
rising healthcare costs. Apart from benefits, the major restraining factors
include lack of curated data sets, less digital savvy patients, reimbursement
& cost coverage issues and patient privacy & data security concerns.
Additionally, some of the other key opportunities include rise in prevalence
for all types of diabetes, growing product innovations, democratization of
knowledge and growing usage of mobile technology in diabetes management.
Diabetes is a chronic disease that
widely impact the global population. It is a global epidemic & the most
costly disease. Center for Disease Control and Prevention, the U.S. incurs $245
billion a year in lost wages. Additionally, millions of people are distressed
with the diabetes globally and this number is growing at a rapid pace creating
a profitable opportunity for companies & entrepreneurs. In the upcoming
years it is expected that the global artificial intelligence in diabetes
management to grow rapidly due to rising the digital affinity.
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