Exploring the Growth Potential of AI in Clinical Care Market: Global Forecast to 2027

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MarketsandMarkets Presents
AI in Clinical Care Market comprises of the
integration of artificial intelligence (AI)
technology in clinical care applications such as
patient data risk analysis, inpatient care
hospital management, medical imaging
diagnostics, among others. AI in clinical care
helps to analyse the complex data of patient. It
also helps to encompass the treatment, management
and prevention of injury or illness, as well as
maintaining physical, mental, and psychological
wellbeing. With the use of AI technology, the
medical treatment and diagnosis of a patient can
be done easily and in lesser time, with less
human intervention and higher precision.
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Drivers Increase in use of computer vision in
complex therapies and surgeries Computer vision
is one of the major AI technologies used by
clinical care industry for data analysis and
drawing inferences. This technology interprets
picture obtained through high-resolution cameras.
This technology has significant application
across clinical care sector majorly for therapies
and surgeries. Robotic surgery applications
leverage computer vision to identify distances or
specific body parts. Download PDF Brochure _at_
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Drivers Increase in use of computer vision in
complex therapies and surgeries The computer
vision systems helps to achieve high precision in
patient diagnosis, further reducing the false
positive rates in the treatment. The adoption of
this technology in long run can potentially
minimize the requirement for expensive therapies
and redundant surgical procedures. Adding to
this, the technological advancements in machine
learning and natural language processing is
expected to drive the AI in clinical care market
growth.
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Growing adoption of AI-based elderly care robots
across the globe With the growth in the
geriatric population, the incidence of several
age-related diseases are expected to increase
across the world. According to the World Health
Organization (WHO) statistics the population aged
60 years and above will increase from 1 billion
in 2020 to 1.4 billion in 2030. This growing
population is expected to increase the adoption
of AI-based elderly care robots and virtual
assistants. Speak to Analyst _at_
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Growing adoption of AI-based elderly care robots
across the globe Adding to this, various
healthcare enterprises and government agencies
are investing in the adoption of noval
technologies such as AI and robotics to target
clinical care and elderly care markets. For
instance, in September 2022, UBTECH ROBOTICS CORP
LTD (US) announced that the company is leveraging
AI technology for the development of elderly care
robots that will provide clinical and nursing
care services to the senior citizens living in
the community centers. Such AI-based development
initiatives will fuel the AI in clinical care
market growth over the forecast period. 
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Challenges Reluctance among medical
practitioners to adopt AI based technologies
across clinical care sectors Currently several
healthcare professionals have doubts about the
capabilities of AI solutions in terms of
acurately diagnosing patient conditions.
Considering this, it is challenging to convince
providers that AI-based solutions are cost
effective, efficient, and safe solutions that
offer convenience to doctors as well as better
care for patients. However, reluctance among
medical practitioners to adopt AI based
technologies across clinical care sectors pose a
major challenge in the market. Adding to this,
there is a misconception among medical
practitioners that AI may replace doctors in
coming years. This is further hindering the
growth opportunities for AI in clinical care
solution providers in the market.  
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Key Players Intel Corporation (US), Siemens
Healthcare GmbH (Germany), NVIDIA Corporation
(US), Medtronic (Ireland), Amazon Web Services,
Inc. (US), GE Healthcare (US), Metadvice Ltd.
(UK), PathAI (US), Babylon Health (UK), AiCure
(US), and Arterys (US) are few key players in the
AI in Clinical Care Market Globally. Browse For
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