Introduction to ‘Cognitive artificial intelligence’

Bundy, Alan; Chater, Nick; Muggleton, Stephen

doi:10.1098/rsta.2022.0051

Cited by 3 publications

(1 citation statement)

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“…AI technologies include machine learning, natural language processing, robotics, and computer vision, among others. The ultimate goal of AI is to create intelligent machines that can work autonomously without human intervention, improving human productivity, efficiency, and quality of life [5].…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Enhances Heart Surgeries

Alhiti

2023

SEE J Cardiol

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BACKGROUND: Heart surgery is used to treat serious heart diseases. METHODS: This is a perspective article on heart surgeries, by reviewing the papers on Europe percutaneous mitral commissurotomy (PMC) concerning heart surgeries, as Europe PMC is a trusted academic engine. The author included all papers on the subject, but papers from the last 5 years are the favorite for references, without exclusion from review. RESULTS: There are 192,265 case reports (28.5%), 143,267 clinical trials (21.2%), 303,690 reviews (45%), and 34,323 miscellaneous (5%). CONCLUSIONS: Artificial intelligence is the future of advances in heart surgeries as they are highly distributed in the world.

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Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Enhances Heart Surgeries

Alhiti

2023

SEE J Cardiol

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Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment

Bukhari,

Li,

et al. 2024

Front. Immunol.

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Liver cancer remains one of the most formidable challenges in modern medicine, characterized by its high incidence and mortality rate. Emerging evidence underscores the critical roles of the immune microenvironment in tumor initiation, development, prognosis, and therapeutic responsiveness. However, the composition of the immune microenvironment of liver cancer (LC-IME) and its association with clinicopathological significance remain unelucidated. In this review, we present the recent developments related to the use of artificial intelligence (AI) for studying the immune microenvironment of liver cancer, focusing on the deciphering of complex high-throughput data. Additionally, we discussed the current challenges of data harmonization and algorithm interpretability for studying LC-IME.

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Artificial Intelligence in Education

Kujundziski,

Bojadjiev

2024

Advances in Educational Technologies and Instructional Design

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Digital technologies, with the forerunner of artificial intelligence (AI), affect many aspects of modern society. With the integration of AI, the education sector has offered innovative educational experiences for both students and teachers. This work aims to give an overview of the implementation of artificial intelligence in the education landscape, considering two different aspects of AI. The first approach considers education using AI technology during teaching and learning, known as AI in education, while the second one is education for AI concentrated on AI literacy. AI transforms the role of teachers, shifting their focus to the more strategic and creative aspects of the educational process. The techniques and technologies implemented in the educational AI-powered systems have also been communicated. AI not only imparts privileges to the education systems but also triggers some concerns. Ethical issues, including data privacy, biases, algorithmic robustness, and the potential misuse of AI-generated content, have been studied as well.

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Introduction to ‘Cognitive artificial intelligence’

Cited by 3 publications

References 10 publications

Artificial Intelligence Enhances Heart Surgeries

Artificial Intelligence Enhances Heart Surgeries

Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment

Artificial Intelligence in Education

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