Mediaboss Marketing

Tribune News Service

Naina Mishra

Chandigarh, June 11

The Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, has started a multi-institutional research project involving cancer patients using artificial intelligence (AI) tool, with Tata Memorial Hospital (TMH), Mumbai, AIIMS, New Delhi, and Rajiv Gandhi Cancer Institute, New Delhi, as the collaborating institutes.

All you will need to do is to upload a CT scan or pathology images in the software and the computer will automatically generate the report/diagnosis. It will act as a screening tool by differentiating normal from abnormal and, in turn, help in triaging cases that need expert opinion, saving a lot of time and money. Dr Mandeep Garg, Professor, Department of Radiodiagnosis, PGI

Through this project, the PGI will collect a dataset of cancer-related radiology and pathology images from Indian patients and store it digitally. The AI tools developed from this database will work with high precision on Indian patients. It will assist a general radiologist or a pathologist in providing accurate diagnosis and expert assistance, just with a click of the button.

All you will need to do is to load CT scan or pathology images in the software and the computer will automatically generate the report/diagnosis. It will act as a screening tool by differentiating normal from abnormal and in turn, help in triaging cases that will actually need the opinion of an expert saving lot of time and money, explained Dr Mandeep Garg, Professor, Department of Radiodiagnosis, who is the principal investigator of the project from the PGI, Chandigarh.

This is the first-of-its-kind project in India. Though there are many such open access databases available, which have tremendously helped cancer research in the West, but unfortunately, the experience of our scientists using images from these repositories is far from satisfactory as this data is primarily derived from western patients and dont directly replicate on Indian population. Hence it prompted us to create our own Indian database, said Dr Garg.

The database that we will create will have many advantages over the existing western databases as it will be much more informative and comprehensive. It will include both radiology DICOM images and pathology whole-slide images. We will be linking it with clinical, genetic, follow-up and treatment outcome information. It will also have expert-verified annotations in place, which is missing in other databases, Dr Garg added.

While early detection and treatment of cancer remains crucial for a favorable outcome, there is a severe shortage of qualified onco-radiologists and onco-pathologists in the country. This increases patients waiting time to arrive at a correct diagnosis leading to significant delay in the start of their treatment, said Dr Garg.

We have started collecting data of patients with lung, head and neck cancers. In the next phase will include other cancers like breast and prostate, Dr Garg added.

We hope this project will serve as a template for others to follow and pave the way for similar initiatives not only in healthcare, but in several other areas as well, said Dr MS Sandhu, head, Department of Radiodiagnosis.

Earlier, Dr Garg has did an AI-based research project with IIT- Kharagpur that was funded by the Department of Information Technology (DIT), Government of India. The current project is funded by the Department of Biotechnology (DBT), Government of India. This project was initiated by Dr Swapnil Rane from the TMH, Mumbai. Prof Amanjit Bal from the Department of Pathology and Dr Chirag Ahuja from the Department of Radiology are the other co-investigators of the project from the PGI.

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Now, cancer diagnosis just click away with artificial intelligence - The Tribune India

This report studies the Artificial Intelligence in Digital Genome Market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Artificial Intelligence in Digital Genome Market analysis segmented by companies, region, type and applications in the report.

The report offers valuable insight into the Artificial Intelligence in Digital Genome market progress and approaches related to the Artificial Intelligence in Digital Genome market with an analysis of each region. The report goes on to talk about the dominant aspects of the market and examine each segment.

Key Players: NVIDIA Corporation, IBM, Microsoft, Fabric Genomics Inc., Verge Genomics, MolecularMatch Inc., SOPHiA GENETICS, PrecisionLife Ltd, BenevolentAI, and Deep Genomics.

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The global Artificial Intelligence in Digital Genome market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in Digital Genome market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by region (country), by Type, and by Application for the period 2022-2026.

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia etc.)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Research objectives:

The report lists the major players in the regions and their respective market share on the basis of global revenue. It also explains their strategic moves in the past few years, investments in product innovation, and changes in leadership to stay ahead in the competition. This will give the reader an edge over others as a well-informed decision can be made looking at the holistic picture of the market.

Key questions answered in this report

Table of Contents: Artificial Intelligence in Digital Genome Market

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The post Artificial Intelligence in Digital Genome Market by Technology Innovation and Growth 2022 appeared first on Agency.

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Artificial Intelligence in Digital Genome Market by Technology Innovation and Growth 2022 - Digital Journal

DUBLIN, June 13, 2022 /PRNewswire/ --The "Global Healthcare Artificial Intelligence Growth Opportunities" report has been added to ResearchAndMarkets.com's offering.

This report examines the role of artificial intelligence (AI) in the healthcare sector. Stakeholders across the healthcare continuum increasingly use AI to cater to the descriptive, diagnostic, predictive, and prescriptive aspects of care provision.

These aspects help improve healthcare delivery efficiency, provide personalized treatments to patients, and enhance clinical outcomes to improve patient and staff experience.

The study helps healthcare providers to understand the key trends emerging in the AI and healthcare space as they consider investing in cognitive capabilities. It provides an overview of AI and healthcare market growth drivers and restraints set to impact the deployment of AI-based solutions.

The study also highlights case studies and uses cases by end-user type - Payor/Provider, Medtech, Medical Imaging and Informatics, Pharma and Lifesciences IT, and Next-gen Diagnostics - in the healthcare market.

The report provides high-level insights on key AI-driven chatbots, natural language processing, and computer vision technologies. In addition, it discusses best practices and principles for the ethical use of AI in healthcare.

The report also guides technology vendors on charting their strategic priorities and building new capabilities to capitalize on emerging growth opportunities in the healthcare AI space.

Key Topics Covered:

1 Strategic Imperatives

2 Growth Environment

3 Growth Opportunity Analysis

4 Growth Opportunity Universe

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/zes0sx

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Global Healthcare Artificial Intelligence Report 2022: Future Growth Potential Enhanced by the Shift Toward Value-based Care - 69News WFMZ-TV

You've probably heard for years that the workforce would be supplanted by robots. AI has changed several roles, such as using self-checkouts, ATMs, and customer support chatbots. The goal is not to scare people, but to highlight the fact that AI is constantly altering lives and executing activities to replace the human workforce. At the same time, technological advancements are producing new career prospects. AI is predicted to increase the demand for professionals, particularly in robotics and software engineering. As a result, AI has the potential to eliminate millions of current occupations while also creating millions of new ones.

Among the many concerns that AI raises is the possibility of wiping out a large portion of the human workforce by eliminating the need for manual labour. But it will simultaneously liberate humans from having to perform tedious, repetitive tasks, allowing them to focus on more complex and rewarding projects, or simply take some much-needed time off.

These figures can make people feel uneasy and anxious about the future. However, history suggests that this may not be the case; there is no question that some industries will be transformed to the point where they no longer require human labour, leading toward job redefinition and business process reform. For eg, the diagnosis of many health issues could be effectively automated, making doctors focus on other major issues that need their attention. In terms of replacing humans completely, human labour is and will continue to be necessary for the foreseeable future.

Until now, we are talking about the jobs that can be snatched as technology advances but then, the human aspects of work cannot be replaced. Let's focus on something that they cannot do. There are some jobs that only humans are capable of performing.

There are jobs that require creation, conceptualization, complex strategic planning, and dealing with unknown spaces and feelings or emotional interactions that are way beyond the expertise of an AI as of now. Let's now talk about certain skills that are irreplaceable till the human race exist.1. Empathy is unique to humans: Some may argue that animals show empathy as well, but they are not the ones taking over the jobs. Humans, unlike programmed software designed to produce a specific result, are capable of feeling emotions. It may seem contradictory, but the personal affinity between a person and an organisation is the foundation of a professional relationship. Humans need a personal connection that extends beyond the professional realm to develop trust and human connection, something that bot technology completely lacks.2. Emotional Intelligence: Though accurate, the AI is not intuitive, or culturally sensitive because that's a human trait. No matter how accurately it is programmed to carry out a task, it cannot possess the human ability to adjust to the algorithm of human intellect. For instance, reading into the situation or the face of another human. It lacks emotional intellect which makes humans capable of understanding and handling an interaction that needs emotional communication. Exactly during your customer care service, one would always prefer a human interaction to read and understand the situation than an automated machine that cannot work or help beyond the programming.

3. Creativity: Perk of being human: AI can improve productivity and efficiency by reducing errors and repetition and replacing manual jobs with intelligent automated solutions, but it cannot comprehend human psychology. Furthermore, as the world becomes more AI-enabled, humans will be able to take on increasingly innovative tasks.

4. Problem-solving outside a code: Humans can deal with unexpected uncertainty by analysing the situation; like critical thinking during complex scenarios, and adopting

There is not even the slightest doubt that AI will not drive the future. To make AI work, humans need to be creative, insightful, and contextually aware. The reason for this is straightforward: humans will continue to provide value that machines cannot duplicate.

(Amarvijayy Taandur, CBO - BYLD group for Crucial Learning)

Read more:
Four skills that won't be replaced by Artificial Intelligence in the future - Economic Times

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.

Get Sample Copy (Including Full TOC, List of Tables & Figures and Chart) @https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-in-healthcare-market&shrikesh

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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