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AI In Medical And Automobiles Industries

AI In Medical And Automobiles Industries

AI In Medical And Automobiles Industries

In today’s data-driven era, many companies aim to capitalize on market opportunities to achieve smarter goals. With the help of advanced technology, these companies are improving their production processes.

One of the hottest technological advancements in artificial intelligence (AI) and its two subfields: machine learning and deep learning.

By using this amazing technology, companies can greatly improve the efficiency of data analysis, thereby affecting the overall business level. The rapid adoption of AI across numerous industries will drive significant growth in AI software revenues over the next few years (to reach around $90 billion in 2025).

Although AI has greatly impacted many industries and companies, we still expect AI to bring about more radical changes in all aspects and become mainstream in more fields in 2020.

AI on two rapidly growing industries: the healthcare industry and the automotive industry

The impact of AI on the healthcare industry – Shopify Expert Vancouver

The impact of artificial intelligence in the medical field is breathtaking. AI has forced a paradigm shift in the healthcare industry in recent years. Whether for drug discovery or clinical research, AI is a remarkable technology that is revolutionizing the healthcare sector in many ways.

AI has played an important role in improving patient treatment, speed of care, and reducing costs. In addition, AI provides huge data sets for doctors and hospitals to access, which may contain critical information that can save lives. The computing power of the latest generation of computers can now help discover and analyze trends from data, large and small, and even make predictions through machine learning to identify potential health outcomes.

The promising factors of AI’s ease of operation, cost-effectiveness, and high efficiency are attracting a lot of investment from individuals and the public sector in the healthcare industry. Research shows that by 2021, the investment will reach 6.6 billion US dollars. Another report from Accenture shows that by 2026, AI applications could save the U.S. healthcare industry $150 billion annually.


Examples of AI technology innovation in the medical industry

 

The main applications of AI technology innovation in the medical industry include:

Visually expressive robots: In 2017, a University of Bristol study found that children with autism often have difficulty discerning facial expressions. That same year, Dell Technologies launched Milo, a 2-inch-tall visual expressive robot that teaches autistic children ages 5 to 17 to identify emotional signals, and is now used in educational institutions in 27 U.S. states.

Connecting with ALS patients: Amyotrophic lateral sclerosis (ALS), or Lou Gehrig’s disease, is a fatal neurodegenerative disease. It causes the motor neurons that control voluntary muscles to die, further causing difficulty speaking, swallowing and breathing, as well as weakness and paralysis. Eye-tracking glasses made with AI technology, or brain-computer interface (BCI), can help people who have lost the ability to speak or move to regain the ability to communicate. The technology helps patients type with their eyes on a monitor, which is decoded by a computer instead of the patient’s voice. It also allows patients to read books, send and receive emails, and keep patients connected to the world at all times.

Recognize atrial fibrillation: Certain types of cardiac arrhythmias, especially atrial fibrillation, can lead to a heart attack or stroke. With the help of an AI electrocardiograph (ECG) utilizing a convolutional neural network, the ECG signature of atrial fibrillation in normal sinus rhythm can be more accurately identified.

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Key measures by which AI will revolutionize the healthcare industry include:

  • Unification of machines and minds through brain-computer interface (BCI)
  • Development of a new generation of radiology equipment
  • Increase access to artificial intelligence medical consultations in underserved or developing regions
  • Reduce the burden of using electronic health records
  • Enables more accurate analysis of pathological images

Increase the intelligence of medical devices and machines

  • Application and development of immunotherapies for the treatment of cancer
  • Health monitoring through wearables and personal devices

Revolutionizing clinical decision-making through artificial intelligence

The potential of AI in the medical industry is huge. It is and will continue to be used to improve human health, playing a greater role in the early detection of disease, diagnosis, clinical decision-making, treatment options, research, training, and more.

The impact of AI on the automotive industry – Vancouver SEO Expert

The application of AI in the automotive industry is not only related to autonomous driving, but also to ensure personal safety, self-driving schedules, and the Internet of Vehicles. Due to the increasing application of AI in the automotive industry, the market value of AI in automotive manufacturing and cloud services is expected to exceed $10.73 billion by 2024.

Key applications of AI in the automotive industry – web design Vancouver

Let’s take a look at the various applications of AI in the automotive industry impacting automakers, owners, and service providers:

AI-based driving functions

Driving a vehicle with AI basically has two functions, namely 1) driver assistance function; 2) driverless function.

Driver assistance: AI has revolutionized the driving experience. It redefines every aspect of the car, including: personalization, in-car virtual assistants, driver behavior monitoring, and intelligent driver assistance systems. AI provides advanced safety features to avoid accidents, such as emergency braking, cross-traffic monitors, blind-spot monitoring, and driver-assisted steering for connected vehicles. By monitoring various sensors, AI identifies dangerous situations and alerts the driver, and even takes emergency control of the vehicle to avoid accidents.

Driverless cars: With the help of artificial intelligence, the self-driving cars that were commonplace in sci-fi movies of the past have become a reality. Self-driving cars, also known as self-driving cars, autonomous vehicles (AVs), robotic cars, or connected and autonomous vehicles (CAVs), are designed to sense their environment, with little or no human intervention. Move safely. Auto leaders like Google and Tesla are pouring millions into developing better self-driving technology to put driverless cars on the road.

AI-based cloud services

It’s important to note that connected vehicles require a lot of data to do their job perfectly. The application of AI cloud platform ensures the availability of data when needed. Cloud services provide an ideal platform for testing and deploying AI technologies in the automotive field, including data analysis, big data access, and centralized connectivity. AI cloud services can help with:

Predictive maintenance: AI cloud services perform predictive maintenance by monitoring hundreds of sensors to detect potential problems before the vehicle is in operation.

· Personalized Marketing: In the field of advertising, AI-based cloud platforms provide an ideal solution for precisely targeting qualified potential customers.

AI-Based Auto Insurance

AI auto insurance is all about providing real-time risk assessments for cars. When an accident happens, AI helps make quick and reliable claims. With the help of deep learning technology, AI auto insurance can help:

AI-based driver risk assessment: AI creates a driver’s risk profile based on the driver’s personal risk factors in big data, and conducts driver risk assessment. With the help of AI, any necessary details that might affect the driver’s ability to drive safely can be easily found.

DIY Car Claims: AI-based video apps like Ding Loss 2.0 allow drivers to perform their own car damage assessments for their insurance companies. In addition, the AI ​​will provide the driver with all the necessary information about the repair and the coverage of the insurance.

AI-based car manufacturing

AI also plays an important role in car manufacturing. On the car production line, intelligent robots fight side by side with humans to create the best designs and works. Additionally, auto manufacturing plants are using a variety of automated guided vehicles (AVGs) to move materials around the plant without human intervention. AI also gives robots the ability to identify materials, helping to identify flaws or out-of-spec parts in the material and alerting quality control personnel to make adjustments.

AI-based driver monitoring

In addition to monitoring the road, AI can also allow the car to monitor the driver. Using advanced cameras and infrared sensors, AI software can monitor driver behavior in several key aspects, including driver recognition (detects whether a driver is in the car), facial recognition (detects which driver is driving the vehicle) , driving behavior monitoring (detects distracted driving and reminds the driver to drive safely), infotainment control (the driver can control the vehicle’s infotainment system with simple gestures without looking away).

With the continuous development of AI technology, the application of this technology is also increasing.

There is no doubt that AI has revolutionized many industries.

Since AI technology supports various environments and scales to meet the changing needs of different industries, choosing the best AI software R&D services can better help companies complete digital transformation.

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