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Artificial Intelligence in Healthcare Marketresearch report, comprehensive analysis of the market structure along with forecasts of the various segments and sub-segments of the Healthcare industry can be obtained. The report comprises all the market shares and approaches of key players in the market. It also includes the detailed profiles for the markets major manufacturers and importers who are influencing the market. A range of key factors are analysed in the report, which will help the buyer in studying the Healthcare industry. Competitive landscape analysis is performed based on the prime manufacturers, trends, opportunities, marketing strategies analysis, market effect factor analysis and consumer needs by major regions, types, applications in market considering the past, present and future state of the industry.A market report makes available an ideal window to the industry which explains what market definition, classifications, applications, engagements and market trends are. The report also recognizes and analyses the emerging trends along with major drivers, challenges and opportunities in the Market.

Data Bridge Market Research analyses that theartificial intelligence in healthcare marketis expected to undergo a CAGR of 51.37% during the forecast period of 2022-2029. This indicates that the market value, which was USD 6.35 billion in 2021, would rocket up to USD 175.22 billion by 2029. Patients dominates the end user segment of the artificial intelligence in healthcare market owing to the increasing product launches, availability of the larger patient pool, high resource availability, high penetration of high speed internet and advancements in healthcare technologies. The market report curated by the Data Bridge Market Research team includes in-depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.

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Artificial intelligence in healthcare deals with patient management systems, scheduling and using algorithms to approximate human cognition and analyze relationships between prevention or treatment techniques and outcomes related to patients.

Artificial Intelligence in Healthcare Market Dynamics

Drivers

The rise in the prevalence of disorders

Surging prevalence of chronic and acute disorders and diseases all around the globe owing to various internal and external factors is one of the major factors responsible for fostering growth of the market. Rising patient pool especially in the developing economies is carving the way for the growth of the market.

Research and development proficiencies

Rising expenditure for research and development proficiencies especially in the developed and developing economies pertaining to the medical instruments and devices will further create lucrative market growth opportunities. Research and development proficiencies have led to the advancements in the medical technology and have improved the quality of healthcare facilities.

Government investments on healthcare infrastructure

The increase in the funding by the federal government is set to drive the growth of the market. Moreover, growth and expansion of thehealthcareindustry being driven by both public and private players especially in the developing economies will create lucrative personal health devices market growth opportunities.

Additionally, surge in the personal disposable income level, introduction of technologically driven product in hospitals and increasing investment for the development of advanced, growing demand for robotically assisted surgeries, rising adoption of minimally invasive devices and innovative technology, positively affect the market growth rate.

Opportunities

Furthermore, upsurge in the public-private funding for targetresearchactivities, increasing need for improvised healthcare services owing to imbalance between health workforce and patients and rising product innovations and development owing to technological advancements all around the world will extend profitable opportunities for the market players in the forecast period of 2022 to 2029. Additionally, surging number of strategic collaborations, rising internet penetration rate, growing number of hospitals and laboratories, rising geriatric population base, rising number of cross-industry partnerships and collaborations and increasing per capita expenditure on health care will further expand the markets growth rate in the future.

For More Insights Get Detailed TOC @https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-in-healthcare-market&shrikesh

Restraints/Challenges

On the other hand, high cost associated with the research and development proficiencies, reluctance among medical practitioners to adopt artificial intelligence-based technologies and clinical risks and difficulties related with the medical procedures are expected to obstruct market growth. Also, lack of favourable reimbursement scenario and technology penetration in the developing economies, lack of curated healthcare data, concerns related to data privacy, lack of interoperability and lack of suitable infrastructure in low- and middle-income countries are projected to challenge the market in the forecast period of 2022-2029.

This artificial intelligence in healthcare market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial intelligence in healthcare market contact Data Bridge Market Research for anAnalyst Brief, our team will help you take an informed market decision to achieve market growth.

Covid-19 Impact on Artificial Intelligence in Healthcare Market

Covid-19 has had a positive impact on the market. Covid-19 led to the rise in the adoption of artificial intelligence and machine learning solutions. The pandemic showcased the prowess and sophistication artificial intelligence can bring to the healthcare sector and completely revolutionize the industry. The influx of patients in the hospitals led to the increasing adoption and application of robotically assisted medical surgeries, artificial intelligence based virtual assistants, inpatient care bots and much more.

Recent developments

In January 2019, Dartford and Gravesham NHS Trust in the United Kingdom came up with an AI-powered wearable technology for patient monitoring when they are discharged from the hospitals.

In October 2019, care.ai and NVIDIA announced a collaboration to provide an artificial intelligence-powered autonomous patient monitoring in healthcare leveraging NVIDIAS platform.

In March 2020, care.ai formed a partnership with the Texas Hospital Association (THA) for creating statewide adoption of AI for autonomous monitoring.

Global Artificial Intelligence in Healthcare Market Scope

The artificial intelligence in healthcare market is segmented on the basis of offering, technology, application and end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offering

Hardware

Software

Services

Based on offering, the artificial intelligence in healthcare market is segmented into hardware, software and services. Hardware has further been segmented into processor, memory and network. Processor is further sub-segmented into memory processing unit, graphical processing unit, field programmable gate array and ASIC. Software has further been segmented into AI solutions and AI platform. AI solutions are further sub-segmented into on-premises and cloud. AI platform are further sub-segmented into machine learning framework and application program interface (API). Services have further been segmented into deployment and integration and support and maintenance.

Technology

Machine Learning

Natural Language Processing

Context- Aware Computing

Computer Vision

On the basis of technology, the artificial intelligence in healthcare market is segmented intomachine learning, natural language processing, context- aware computing and computer vision. Machine learning is further been segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning and others.

Application

Robot-assisted Surgery

Virtual Assistants

Administrative Workflow Assistants

Connected Machines

Diagnosis

Clinical Trials

Fraud Detection

Cyber security

Dosage Error Reduction

On the basis of application, the artificial intelligence in healthcare market is segmented into robot-assisted surgery, virtual assistants, administrative workflow assistants, connected machines, diagnosis, clinical trials, fraud detection,cyber securityand dosage error reduction.

End user

Patients

Pharmaceuticals and Biotechnology Companies

Healthcare Payers

Others

The end user segment of artificial intelligence in healthcare market is segmented into patients, pharmaceuticals and biotechnology companies, healthcare payers and others.

Artificial Intelligence in Healthcare Market Regional Analysis/Insights

The artificial intelligence in healthcare market is analysed and market size insights and trends are provided by country, offering, technology, application and end user as referenced above.

The countries covered in the artificial intelligence in healthcare market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the artificial intelligence in healthcare market because of the strong base of healthcare facilities, rising investment from key players in the growth of the advanced devices, high adoption rate of minimally invasive procedures, availability of reimbursements, rising geriatric population, high healthcare spending combined with the onset of Covid-19 pandemic and rising number of research activities in this region.

Asia-Pacific is expected to witness significant growth during the forecast period of 2022 to 2029 due to the increase in government initiatives to promote awareness, rise in medical tourism, growing research activities in the region, ever-rising geriatric population base and the growing demand for quality healthcare in the region.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porters five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Healthcare Infrastructure growth Installed base and New Technology Penetration

The artificial intelligence in healthcare market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment, installed base of different kind of products for artificial intelligence in healthcare market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the artificial intelligence in healthcare market. The data is available for historic period 2010-2020.

Competitive Landscape and Artificial Intelligence in Healthcare Market Share Analysis

The artificial intelligence in healthcare market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies focus related to artificial intelligence in healthcare market.

Some of the major players operating in the artificial intelligence in healthcare market are NVIDIA Corporation (US), Intel Corporation (US), IBM (US), Google LLC (US), Microsoft (US), General Vision Inc. (US), Johnson & Johnson Services, Inc. (US), Siemens Healthcare GmbH (Germany), Medtronic (Ireland), CloudMedx Inc. (US), Agfa-Gevaert Group (Belgium), Oncora Medical (US), Imagia Cybernetics Inc. (Canada), Micron Technology, Inc. (US), DeepMind Technologies Limited (UK), Welcome AI (US), Koninklijke Philips N.V. (Netherlands), GENERAL ELECTRIC COMPANY (US), Precision Health AI (US), and Cloud Pharmaceuticals, Inc., (US) among others.

Report Coverage:

Vendor ProfilesVendor AssessmentStrategiesTechnology AssessmentProduct MappingIndustry OutlookEconomic AnalysisSegmental AnalysisMarket SizeAnalysis Tables

This Market Research Report Highlights:

Assessment of the marketPremium InsightsCompetitive LandscapeCOVID Impact AnalysisHistoric Data, Estimates and ForecastCompany ProfilesGlobal and Regional Dynamics

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Artificial Intelligence in Healthcare Market : Industry Growth, Competitive Analysis, Future Prospects and Forecast Designer Women - Designer Women

"How do we want to be remembered in history? As simple consumers? Or as transformers of our potential and resources?" With this question, Kate Fotso, the boss of Cameroon's Telcar Cocoa, sums up the challenge that Africa must take up to build its economic independence. This debate, at the heart of the Africa CEO Forum held in Abidjan, was discussed during a round table on 13 June.

The starting point is clear: Africas dependence on the outside world is greater than that of other continents, with 84% of its trade being with the rest of the world. It is no coincidence that Africa, the continent that trades the least internally, is also the poorest, pointed out Ghanas President Nana Akufo-Addo, seeing the development of the African Continental Free Trade Area (AfCFTA) as the only way out for African countries.

A few moments earlier, at the opening ceremony, Cte dIvoires President Alassane Ouattara said much the same thing. The current crisis has revealed the vulnerabilities [of globalisation] and marks a calling into question of international trade. This is very disturbing for developing countries, the Ivorian head of state warned.

In a difficult context linked to the consequences of the pandemic and the war in Ukraine, Makhtar Diop, managing director of the International Finance Corporation, the World Banks private-sector arm, insisted on the need to accelerate cooperation between public and private actors via targeted discussions, highlighting three priority sectors: fintech, food and housing.

Two other tools were highlighted. Nigerias vice-president Yemi Osinbajo called for an overhaul of global taxation, particularly for multinationals, to make it more favourable to the continent. The governor of the central bank of Kenya, Patrick Ngugi Njoroge, reminded the audience of the urgent need to invest in human capital, given that some of the jobs of the future have yet to be invented.

While the continent has not been able to take party fulling in the latest revolutions and industrial innovations, including nuclear power, Karim Beguir, the head of the Tunisian start-up Instadeep, stressed that with artificial intelligence, it will have every chance, as technologies and know-how are freely available. All it takes is motivated people to train to bring out African talent, he added.

Understand Africa's tomorrow... today

We believe that Africa is poorly represented, and badly under-estimated. Beyond the vast opportunity manifest in African markets, we highlight people who make a difference; leaders turning the tide, youth driving change, and an indefatigable business community. That is what we believe will change the continent, and that is what we report on. With hard-hitting investigations, innovative analysis and deep dives into countries and sectors, The Africa Report delivers the insight you need.

The rest is here:
Africa CEO Forum: Artificial intelligence, taxation, AfCFTA the tools of independence - The Africa Report

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For nearly 15 years now, insidethegames.biz has been at the forefront of reporting fearlessly on what happens in the Olympic Movement. As the first website not to be placed behind a paywall, we have made news about the International Olympic Committee, the Olympic and Paralympic Games, the Commonwealth Games and other major events more accessible than ever to everybody.

insidethegames.biz has established a global reputation for the excellence of its reporting and breadth of its coverage. For many of our readers from more than 200 countries and territories around the world the website is a vital part of their daily lives. The ping of our free daily email alert, sent every morning at 6.30am UK time 365 days a year, landing in their inbox, is as a familiar part of their day as their first cup of coffee.

Even during the worst times of the COVID-19 pandemic, insidethegames.biz maintained its high standard of reporting on all the news from around the globe on a daily basis. We were the first publication in the world to signal the threat that the Olympic Movement faced from the coronavirus and have provided unparalleled coverage of the pandemic since.

As the world begins to emerge from the COVID crisis, insidethegames.biz would like to invite you to help us on our journey by funding our independent journalism. Your vital support would mean we can continue to report so comprehensively on the Olympic Movement and the events that shape it. It would mean we can keep our website open for everyone. Last year, nearly 25 million people read insidethegames.biz, making us by far the biggest source of independent news on what is happening in world sport.

Every contribution, however big or small, will help maintain and improve our worldwide coverage in the year ahead. Our small and dedicated team were extremely busy last year covering the re-arranged Olympic and Paralympic Games in Tokyo, an unprecedented logistical challenge that stretched our tight resources to the limit.

The remainder of 2022 is not going to be any less busy, or less challenging. We had the Winter Olympic and Paralympic Games in Beijing, where we sent a team of four reporters, and coming up are the Commonwealth Games in Birmingham, the Summer World University and Asian Games in China, the World Games in Alabama and multiple World Championships. Plus, of course, there is the FIFA World Cup in Qatar.

Unlike many others, insidethegames.biz is available for everyone to read, regardless of what they can afford to pay. We do this because we believe that sport belongs to everybody, and everybody should be able to read information regardless of their financial situation. While others try to benefit financially from information, we are committed to sharing it with as many people as possible. The greater the number of people that can keep up to date with global events, and understand their impact, the more sport will be forced to be transparent.

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WADA investigating using artificial intelligence to carry out drugs testing, but lack of resources hampering efforts - Insidethegames.biz

An artificial intelligence program has developed its own language and no one can understand it.

OpenAI is anartificial intelligencesystems developer their programs are fantastic examples of super-computing but there are quirks.

DALLE-E2 isOpenAIs latest AI system it can generate realistic or artistic images from user-entered text descriptions.

DALLE-E2 represents a milestone in machine learning OpenAIs site says the program learned the relationship between images and the text used to describe them.

A DALLE-E2 demonstration includesinteractive keywordsfor visiting users to play with and generate images toggling different keywords will result in different images, styles, and subjects.

But the system has one strange behavior itswritingits own language of random arrangements of letters, and researchers dont know why.

Giannis Daras, a computer science Ph.D. student at the University of Texas, published aTwitter threaddetailing DALLE-E2s unexplained new language.

Daras told DALLE-E2 to create an image of farmers talking about vegetables and the program did so, but the farmers speech read vicootes some unknown AI word.

Darasfedvicootes back into the DALLE-E2 system and got back pictures of vegetables.

We then feed the words: Apoploe vesrreaitars and we get birds. Daras wrote on Twitter.

It seems that the farmers are talking about birds, messing with their vegetables!

Stay up on the very latest with Evening Update.

Daras and a co-author have written apaperon DALLE-E2s hidden vocabulary.

They acknowledge that telling DALLE-E2 to generate images of words the command an image of the word airplane is Daras example normally results in DALLE-E2 spitting out gibberish text.

When plugged back into DALLE-E2, that gibberish text will result in images of airplanes which says something about the way DALLE-E2 talks to and thinks of itself.

Some AI researchers argued that DALLE-E2s gibberish text is random noise.

Hopefully, we dont come to find the DALLE-E2s second language was a security flaw that needed patching after its too late.

This article originally appeared onThe Sunand was reproduced here with permission.

Read this article:
Artificial intelligence spotted inventing its own creepy language - New York Post

Welcome to the age of blended workforces, where intelligent machines and humans combine to accelerate business success.

Human Vs. Artificial Intelligence: Why Finding The Right Balance Is Key To Success

In short, now that we have increasingly capable robots and artificial intelligence (AI) systems capable of taking on tasks that were previously the sole domain of humans its easier than ever for organizations to leverage intelligent machines. But this leaves employers with some major questions to answer: how do we find the right balance between intelligent machines and human intelligence? What roles should be given over to machines? And which roles are best suited to humans?

The first step: Understanding what machines can do

Particularly in traditional companies, business leaders often arent up to speed on the sheer range of tasks that todays AIs and intelligent robots can take on. (In fact, I spend a lot of time educating executives in this area.) This knowledge is key to finding the right balance between humans and machines in your organization.

Some of the things AIs and AI-enabled robots can do are pretty mind-blowing. For example, AIs can now read, write, see, speak and even understand emotions. While this sounds impressive, AIs are, for the most part, taking one type of input (be it visual data, written data, or whatever) and generating a particular output, as programmed. Once you understand this basic input-to-output idea, theres potential to automate all sorts of tasks that follow this same model, such as scanning security videos for suspicious behavior, moderating content online, answering simple customer inquiries, entering data, and maintaining bookkeeping records, and so on.

As Stanford professor Andrew NG puts it, If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future. In other words, human jobs that are built on some sort of input-to-output scenario are very likely to be automated in the future.

So what will happen to human workers?

In light of this incoming wave of automation, the work of humans will be affected in three key ways:

Displacement of human jobs. According to the World Economic Forums Future of Jobs Report 2020, 85 million jobs may be displaced by automation by 2025 truly a staggering figure. Naturally, this creates a lot of fear around automation. But while many jobs will be displaced, its important to note that even more jobs will be augmented or created because of technology adoption. Which brings us to

Augmentation of human jobs. Here, many jobs will be changed in some way by automation. According to the WEF, by 2025, the time spent on current tasks at work by humans and machines will be equal. This means employers must find the perfect balance between those tasks done by humans and those done by machines. To put it another way, we need to ensure the work given to machines is best suited to machines, and the work given to humans is best suited to humans (so humans dont end up feeling like machines).

Addition of new human jobs. Finally, new jobs will arise that previously did not exist. While the WEF estimates that 85 million jobs may be displaced, it also estimates that 97 million new roles may emerge roles that are better adapted to the new division of labor between humans and machines. These new human roles are likely to rely on a slightly different set of skills and capabilities, compared to those skills that have traditionally been prioritized in the past.

All this means employers have a responsibility to equip their workforces with the skills needed for the fourth industrial revolution. What sort of skills are we talking about? Well, with machines taking on more of the easily automated input-to-output work, its the inherently human skills that will become more and more valuable in the workplace. Things like empathy, creativity, critical thinking, emotional intelligence, communication, and complex decision making, to name just a few.

Responsible automation in practice

Stitch Fix is a fashion subscription box that uses AI to pick out clothes that customers will love. But the company doesnt just rely on AI to do this; its the perfect blend of AI and human stylists that makes the service so impressive.

At Stitch Fix, machines do the initial work of crunching through enormous amounts of data and evaluating the likelihood of a customer loving a particular style, based on the customers information, preferences and previous choices. Then a human stylist finalizes the selection and writes a personal note advising the client on how to style the items.

For me, this is a fantastic example of getting the best out of both machines and humans, and its something many organizations could learn from. This perfect symbiosis between intelligent machines and capable humans is referred to by automation pioneers Faethm as responsible automation. Faethm is on a mission to ensure automation is done in a way that doesnt leave humans behind, and the companys approach involves breaking jobs down into task fractions to see what can and cant be automated. Done this way, automation at least according to Faethm doesnt have to result in job losses. Instead, humans transition to more rewarding tasks.

The key takeaway here is that organizations must start to identify the tasks that are better suited to machines so that those tasks can be automated, leaving humans to do the more complex, rewarding work. And on top of this, employers must equip their workforces with the skills that will be essential for success in the 21st century.

To stay on top of the latest business and tech trends, subscribe to my newsletter and check out my books, Business Trends in Practice: The 25+ Trends That are Redefining Organizations, which has just won the Business Book of the Year 2022 award, and my new book Future Skills: The 20 skills and competencies everyone needs to succeed in a digital world. And of course, you can follow me on Twitter, LinkedIn, and YouTube and explore my website for more content.

Originally posted here:
Human Vs. Artificial Intelligence: Why Finding The Right Balance Is Key To Success - Forbes