News | Artificial Intelligence | February 24, 2017

Artificial Intelligence Advances Will Help Machines Understand Human Thoughts Using Brain Computer Interface

Frost & Sullivan report suggests AI will present growth opportunities by leveraging thought-controlled interaction with machines

artificial intelligence, AI, brain computer interface, BCI, growth, healthcare, Frost & Sullivan report

February 24, 2017 — Frost & Sullivan’s TechVision Growth Partnership Service program released a new report, “Artificial Intelligence (AI) – R&D and Applications Roadmap” detailing the potential future growth of AI across several industries, including healthcare.

The concerted efforts toward making artificial intelligence (AI) technology capable of human-like cognitive behavior such as learning, reasoning, problem solving, planning and self-correction have received a huge boost with advances in deep learning and neural networks, according to Frost & Sullivan. The technological complexities inherent in developing perceptions for machines, as well as the verification and validation of these tools, have been eased to a large extent by the advancements of AI technology. These developments will open up a plethora of opportunities for AI in smart applications that can make critical decisions autonomously and accurately, without human intervention.

“With brain computer interface (BCI), AI can power future machines to understand human thoughts and emotions, even without physical or vocal communication,” noted Frost & Sullivan TechVision Senior Research Analyst Debarun Guha Thakurta. “Instead of simply mimicking the human brain structurally, AI will be able to impart human-like intelligence to machines.”

Leveraging convergent ideas with technologies, AI can open up new horizons in groundbreaking applications. Moving beyond syntactical understanding of human words, future applications will understand the semantics hidden in human language, and observe, understand and detect objects accurately in their surroundings, making them more responsive. Additionally, the study explores the roadblocks to technology implementation.

AI has complex hardware and software infrastructural requirements, as the intelligent algorithms require exceptional processing capabilities to process large data sets in real time. Innovators, with incremental technology evolution, are successfully meeting these needs, according to the report. Innovations in natural language processing, robotics, cybersecurity and computer vision will spawn novel applications that transform the way humans interact with smart devices.

Academia and corporations all over the world are conducting extensive research to make AI more intelligent. The United States is responsible for almost 35 percent of the patents in AI, according to Frost & Sullivan, followed by China, World Intellectual Property Organization (WIPO), Japan, Europe and South Korea.

“AI is being widely used across sectors like healthcare, automotive, banking and finance, and aerospace and defense due to its ability to understand patterns in data and make highly accurate predictions and simulations,” noted Thakurta. “In due course, it will be an integral component powering future cognitive computing systems that have processing power and intelligence similar to human beings.”

For more information: www.frost.com

Related Content

Machine Learning IDs Markers to Help Predict Alzheimer's

Neurologists use structural and diffusion magnetic resonance imaging (MRI) to identify changes in brain tissue (both gray and white matter) that are characteristic of Alzheimer's disease and other forms of dementia. The MRI images are analyzed using morphometry and tractography techniques, which detect changes in the shape and dimensions of the brain and in the tissue microstructure, respectively. In this example, the images show the normal brain of an elderly patient. Image courtesy of Jiook Cha.

News | Neuro Imaging | September 20, 2018
New research has shown a combination of two different modes of magnetic resonance imaging (MRI), computer-based...
LVivo EF Cardiac Tool Now Available for GE Vscan Extend Handheld Mobile Ultrasound
Technology | Cardiovascular Ultrasound | September 19, 2018
DiA Imaging Analysis Ltd. (DiA), a provider of artificial intelligence (AI)-powered ultrasound analysis tools,...
Exact Imaging Partners to Improve Prostate Cancer Detection With Artificial Intelligence
News | Prostate Cancer | September 19, 2018
Exact Imaging, makers of the ExactVu micro-ultrasound platform, has partnered with U.K.-based Cambridge Consultants to...
SimonMed Deploys ClearRead CT Enterprise Wide
News | Computer-Aided Detection Software | September 17, 2018
September 17, 2018 — National outpatient physician radiology group SimonMed Imaging has selected Riverain Technologie
Acuson Sequoia
News | Ultrasound Imaging | September 12, 2018
Siemens Healthineers announced the first global installation of its newest ultrasound system, the...
Veye Chest version 2
News | Lung Cancer | September 11, 2018
Aidence, an Amsterdam-based medical AI company, announced that Veye Chest version 2, a class IIa medical device, has
Sponsored Content | Case Study | Information Technology | September 07, 2018
Established in 1970, Sovah Health – Martinsville, Va., resides in the foothills of the beautiful Blue Ridge Mountains...
Sponsored Content | Case Study | Information Technology | September 07, 2018
One of the Northeast’s major teaching hospitals is an international leader in virtually every area of medicine. It has...
Feature | Population Health | September 07, 2018 | By Jeff Zagoudis
Over the last several years in the U.S., healthcare providers have been trying to shift their focus to more preventive...
The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

The CT scanner might not come with protocols that are adequate for each hospital situation, so at Phoenix Children’s Hospital they designed their own protocols, said Dianna Bardo, M.D., director of body MR and co-director of the 3D Innovation Lab at Phoenix Children’s.

Sponsored Content | Case Study | Radiation Dose Management | September 07, 2018
Radiation dose management is central to child patient safety. Medical imaging plays an increasing role in the accurate...