Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice

Chang, Ji Young

doi:10.5946/ce.2022.123

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…While it may be claimed that human creativity would always play a key part in effective work, AI-based systems have ingeniously eliminated repetitive human labor and can provide outcomes in very little time. "Narrow AI" [7] describes the majority of current research in the field of artificial intelligence. This implies that technology is only useful for improving specific kinds of work.…”

Section: Artificial Intelligence Analytical Concepts and Learningmentioning

confidence: 99%

A Review on Artificial Intelligence in Internet of Things and Cyber Physical Systems

Haldorai¹

2023

JCNS

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With the use of Internet of Things (IoT), businesses can easily collect real-time information on all physical components in their operations. The use of Artificial Intelligence (AI) is growing in IoT applications and businesses, signaling a shift in how these businesses operate. Across the globe, businesses are rapidly adopting IoT technology to develop cutting-edge products and services, therefore creating a novel market niches and strategic directions. IoT and CPS (Cyber-Physical Systems) integrated with data science could potentially stimulate the next generation of "smart revolution." The problem that emerges then is how to effectively manage big data engendered with less current processing capacity. This paper reviews the elements of AI, IoT and CPS, including the components of IoT-CPS as well as defining the relationship between AI and IoT-CPS. In the review, it is noted that AI is vital in many application scenarios, but there are problems associated with this technology in the modern world. To deal with problem in an AI-enabled IoT environment, a more reliable AI system should be researched and integrated in real-life applications.

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Section: Artificial Intelligence Analytical Concepts and Learningmentioning

confidence: 99%

A Review on Artificial Intelligence in Internet of Things and Cyber Physical Systems

Haldorai¹

2023

JCNS

View full text Add to dashboard Cite

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AI-powered medical devices for practical clinicians including the diagnosis of colorectal polyps

Kim,

Kim

2023

J Korean Med Assoc

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Background: The integration of medical devices with artificial intelligence (AI) software is rapidly advancing as technology progresses. AI machine learning can be used in commercial medical services to generate practical data; there is evidence that it can be integrated into newly developed devices. However, such devices must undergo approval, regulation, and supervision. The Food and Drug Administration approves regulations for numerous machine-learning medical devices and shares open lists with the public. In this article, we examine recent medical AI devices in different fields, including the diagnosis of colorectal polyps.Current Concepts: Currently, in the field of gastroenterology, there has been a significant amount of research aimed at enhancing adenoma detection rates using tools powered by AI, such as the EndoScreener and GI Genius. Various such devices have also been developed for other fields; examples include the 23andMe Personal Genome Service for DNA detection, Spectral MD’s DeepView platform for wound imaging in surgery, Gili Pro BioSensor for monitoring vital signs, DreaMed Advisor Pro for diabetes, Minuteful for urinary analysis, BrainScope TBI for cerebral diagnosis, Compumedics Sleep Monitoring System for sleep disorders, Idx-DR v2.3 for ophthalmology, and EarliPoint system for pediatrics.Discussion and Conclusion: By the time this article is published, it is likely that even more AI medical devices will have been approved and commercialized. The development of such devices should be strongly encouraged. Additionally, we anticipate greater involvement from practitioners in the development and validation of diverse medical AI devices in Korea.

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Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice

Cited by 2 publications

References 11 publications

A Review on Artificial Intelligence in Internet of Things and Cyber Physical Systems

A Review on Artificial Intelligence in Internet of Things and Cyber Physical Systems

AI-powered medical devices for practical clinicians including the diagnosis of colorectal polyps

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