Search results for: 'knowledge drive intelligent tools'

Transportation industry participants face significant challenges as expanding populations and urban density cause congestion, high carbon emissions rates, and parking deficits. One way city planners seek to remedy these unfortunate effects is by optimizing their mobility networks. The need to effectively manage the various mobility modes became mor...

Artificial intelligence (AI) is a key driver for Industry 4.0, with the potential to disrupt numerous business verticals. The technology’s ability to perform human-like cognitive functions such as learning, reasoning, problem solving, planning, and self-correction, and to make decisions based on simulations drives its large-scale adoption. Currentl...

The eCommerce and logistics industries are entering a period of accelerated transformation driven by the need for higher throughput, improved accuracy, and real-time operational intelligence. Emerging sensor technologies are becoming essential to support this shift as fulfillment centers, transport networks, and last-mile operations manage rising c...

Militaries increasingly operate on congested battlefields that are expanding geographically and across domains while under persistent surveillance that requires fast-paced decision-making through effective situational awareness, intelligence gathering, and action targeting. The battlefield congestion has resulted in slower decision cycles and react...

21 Aug 2018  |  Global  |  Market Research

Artificial Intelligence for Medical Image Analysis—Companies-to-Action, 2018

Lay of the Land, Growth Opportunities and Future Direction

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Key Issues Addressed

Medical imaging has become the bellwether application for artificial intelligence (AI) technologies in healthcare. From deep learning and machine learning approaches, to cognitive computing, to even natural language processing, several AI approaches are now being incorporated in the field of radiology. Apart from academic research groups, almost al...

Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, marit...

Frost & Sullivan research has identified the core areas in which artificial intelligence (AI)-enabled healtchcare IT solutions are most relevant for hospitals, physicians, and payers. Hospitals that have so far invested in AI-based financial solutions to automate patient access management, reimbursement eligibility matching, and computer-assisted ...

Home care digitalization continues to gain strong momentum, driven by the rapid growth of the elderly population, increasing prevalence of multi-morbidity, persistent workforce shortages, and rising cost and efficiency pressures on payers and public health systems. Population aging is not only increasing the volume of home care but also its complex...

Smart sensors employs microelectromechanical systems (MEMS) and very-large-scale integration (VLSI) technology to function effectively. A smart sensor is a device that receives input from the physical world, and upon detection, leverages internal computing power to carry out predefined actions to provide optimized output. Key operations of smart se...