AI News, Market size of artificial intelligence (AI) for medical imaging industry ... artificial intelligence

36 Artificial Intelligence (AI) Trends For 2019-2020

The extent of the popularity of AI is that, by 2025, it is estimated that the global AI market will be worth almost $60 billion.   The technology has become so omnipresent that only 33% of consumers are aware of using AI, and the rest are still oblivious to its presence.

This way, the studies suggested to doctors and patients would be more relevant and reliable.  With AI’s neural networks, scientists are analyzing the atypical risk factors that were too complicated to quantify.

To put a full-stop on the tediously long drug discovery cycle, traditional pharma organizations are now placing their hopes and faith into new AI biotech startups.

Nevertheless, numerous SaaS agencies are coming forth to deliver search technologies to third-party retailers, and investment in this particular tech stack makes it the AI technology trend of  2019.

In warehouses of the future, logistics will play an eminent role, as the warehouses will be developed to accommodate not humans, but highly proficient robots who will be able to work 24X7 without the need of even basic facilities as lighting.

The global Artificial Intelligence in retail and e-commerce market size is predicted to increase at a CAGR of 42.8% during the forecast period 2019-2025 and acquire a revenue of $19.37 billion by the year 2025.

Not just this, but businesses are rapidly integrating this AI feature into their apps and other solutions used in processes, according to their business model.  Cyber threat hunting is a proactive approach combined with high-security functions, to detect stealth attackers and stop the malicious activities initiated by such hackers.

A prominent use case of the facility can be seen in the Japenese machine learning algorithm, AI Guardman, which detects suspicious behavior of shoppers and also alerts the store owner on mobile.  Similarly, this computer vision added to the drones will help in surveillance of crowded places.

The digital number plates, created of course with AI technology, will help transport authorities on so many levels, from alerting authorities in case of accidents or use GPS for location detection.

In a similar manner, it will prove as a holy grail for manufacturing industries to supervise their production process and point out even the minutest of discrepancies in the products without the inclusion of human factor.

Quality 4.0 is a product of the integration of AI in Manufacturing industry.  This involves AI algorithms to notify the manufacturing teams about detected production faults, so that an appropriate action can be taken to stop the production of faulty products and save loads of capital.

After acquiring the data on individual game players, AI algorithms will enable the developers to create game worlds that are more individualized and reactive to individual players in-game.

Now, AI is taken as an effective technology which is helping several businesses keep their head out of the water.  Customer experience is being improved by using Chatbots, 24X7 support, Virtual assistance, and self-help VR systems, as natural-language processing improvises and learns more from the expanding data pool of past experience.

Now, the recruiting process is not mechanical which is why AI is being developed by adding human factors such as empathy, personality and other human traits that will help the AI algorithm in analyzing and then selecting a candidate just like we humans do.

With such incredible features at disposal, it is not long that the business organizations will find new and innovative ways to develop this technology into something new and set unparalleled AI technology trends.

By analyzing the market conditions from the past data in the cloud, organizations and individuals will be able to overcome unanticipated risks, be it buying or selling of stock and shares.

To combat the fraud problem and make sure the genuity of the situation, insurers and startups are using AI to compute a vehicle owner’s “risk score”, examine accident imagery, and also keep tabs on driver behavior. 

This will help them personalize products suggestions based on their buying habits and what drives them to make their decisions.  Marketers get yet another advantage of AI, which is to expand their campaign beyond linear segmentation and target audience similar to your current client base.

While in Real-time processing, it assists in giving quick responses to conditions and collecting knowledge of decisions about those events, for example, remote video camera capturing images of license plates for the parking payments.  There is a whole world out there where integration of AI in IoT connects every device with each other to enable them to perform additional functions.  Blockchain is another hyped technology which has created momentum in all industries.

It is so, for you get benefits such as Better transactions, high-quality data, decentralized intelligence, lower market entry barriers, greater transparency, improved artificial trust and whatnot.

Thanks to Artificial Intelligence’s deep neural networks, it is now possible to detect vertical and horizontal planes, estimate and analyze depth and segment images for realistic occlusion, moreover, even infer 3D positions of things in real-time.

Now, it is possible to hire personnel effectively without human involvement, offering better customer services and enhancing customer experience has really evolved by using chatbots and other AI features.

Artificial Intelligence Markets in Medical Diagnostics, 2019: AI is Revolutionizing the Healthcare Industry - The Most Targeted Medical Applications, and Which Companies are Going for Them?

It paves the way for the emergence of a new generation of medical diagnostic devices capable of surpassing the detection skills of the best medical practitioners.

Moreover, AI has numerous and diverse applications in medical diagnostics, such as image analysis for tumor detection, video detection for gait disorders and fall prediction, biochemical tests such as for diabetes or speech analysis of emotional state and psychiatric disorders.

Thereby, with the emergence of many new companies like Aidence, Bay Labs and doc.ai, and given the many advantages and new applications of AI for medical diagnostics, it is crucial to understand the intellectual property (IP) position and strategy of these different players.

Such knowledge can help detect business risks and opportunities, anticipate emerging applications and enable strategic decisions to strengthen one's market position.The analysis of the time evolution of patent publications shows that the development of medical diagnostic systems with built-in computer-assisted detection features is not new.

American players mainly protect their inventions in the US and to a lesser extent in Europe and in Asian countries.Identifying the companies that have recently emerged in the IP landscape Among the players that have filed patents about AI in medical diagnostics, over 90 newcomers were identified.

These products consist of software solutions such as software for ultrasound imaging analysis, image resolution improvement or real-time brain monitoring, or medical devices capable of live analysis of biological parameters such as blood glucose monitoring apparatus, sleep monitoring sensors and ECG.

32 artificial intelligence companies building a smarter tomorrow

From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.

Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm, but are certainly within reach.  As the big guys scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technology and services.

By highlighting only the most relevant and interesting information, businesses can make quicker decisions regardless of the staff's experience with data or analytics.

RELATED ARTICLES20 examples of artificial intelligence shaking up business as usual How AI is changing the banking and finance industries The robots will see you now: How artificial intelligence is revolutionizing healthcare  

Industry: Fintech Location: New York, New York What it does: AlphaSense is an AI-powered search engine designed to help investment firms, banks and Fortune 500 companies find important information within transcripts, filings, news and research. The technology uses artificial intelligence to expand keyword searches for relevant content.

Using non-invasive blood tests, the company’s AI technology recognizes disease-associated patterns, providing earlier cancer detection and better treatment options.

Its LiDAR technology focuses on the most important information in a vehicle’s sightline such as people, other cars and animals, while putting less emphasis on things like the sky, buildings and surrounding vegetation.

By fusing problem solving, learning and memory technologies together, the company can build systems that learn and adapt without human assistance.

Called CARA A.I., the company's tech can search within the language, jurisdiction and citations of a user's uploaded documents and return relevant searches from the database.

Industry: Cloud, Robotics Location: Santa Clara, California What it does: CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries.

Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more.

The company's 'human-in-the-loop' platform uses human intelligence to train and test machine learning, and has powered AI projects for major companies like Oracle, Ebay SAP and Adobe.

From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for tech support, billing, scheduling, purchases and policy information.

Industry: Big Data, Software Location: Mountain View, California What it does: Orbital Insight uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.

Industry: Software Location: San Francisco, California What it does: OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly.

Sift uses thousands of data points from around the web to train in detecting fraud patterns. The technology helps payment processors, marketplaces, e-commerce stores and even social networks prevent fraud.

Industry: Software, Healthtech Location: Berkeley, California (US office) What it does: Zebra Medical Vision develops technology for radiology and medical imaging, enhancing the diagnostic abilities of radiologists while maximizing focus on patient care.

These algorithms will ultimately help medical professionals detect high-risk patients earlier and manage growing workloads with more accurate outcomes.

Spanning the agriculture, pharmaceutical and chemical industry, the company enables faster cultivation of microbes through automation software and a huge catalog of physical and digital DNA data.

Artificial Intelligence in Medical Imaging Market Is Thriving Worldwide| Ada Health, PAIGE, mPulse Mobile, Suki AI

Global Artificial Intelligence in Medical Imaging Market of which artificial intelligence in medical imaging is a part of is expected to rise from its initial estimated value of USD 21.48 billion in 2018 to a projected value of USD 264.85 billion by 2026, registering a CAGR of 36.89% in the forecast period of 2019-2026.

Major Drivers and Restraints of the Artificial Intelligence in Medical Imaging Industry Market Drivers: Increased numbers of diagnostic procedures carried out is expected to drive the market growth Ability and achievement of personalized treatment, improved procedures and treatment of the patients are also expected to drive the market growth Market Restraints: Lack of integration and practical applications of artificial intelligence is expected to restrain the market growth High cost and reluctance of adoption of these systems is also expected to restrain the market growth Complete report is available @ https://databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-in-medical-imaging-market To achieve success in the competition of global market place, going for this global Artificial Intelligence in Medical Imaging market research report is the key.

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 global Artificial Intelligence in Medical Imaging market considering the past, present and future state of the industry.

Scope Definition and forecast parameters Methodology and forecast parameters Data Sources Chapter 2: Executive Summary Business trends Regional trends Product trends End-use trends Chapter 3: Artificial Intelligence in Medical Imaging Industry Insights Industry segmentation Industry landscape Vendor matrix Technological and innovation landscape Chapter 4: Artificial Intelligence in Medical Imaging Market, By Region Chapter 5: Company Profile Business Overview Financial Data Product Landscape Strategic Outlook SWOT Analysis Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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