Explained Artificial Intelligence Helps to Integrate Artificial and Human Intelligence Into Medical Diagnostic Systems: Analytical Review of Publications

Author(s):  
Mais Farkhadov ◽  
Aleksander Eliseev ◽  
Nina Petukhova
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 228049-228069
Author(s):  
Simarjeet Kaur ◽  
Jimmy Singla ◽  
Lewis Nkenyereye ◽  
Sudan Jha ◽  
Deepak Prashar ◽  
...  

2019 ◽  
Vol 24 (2) ◽  
pp. 241-258
Author(s):  
Paul Dumouchel

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society.


Encyclopedia ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 220-239
Author(s):  
Sarkar Siddique ◽  
James C. L. Chow

Machine learning (ML) is a study of computer algorithms for automation through experience. ML is a subset of artificial intelligence (AI) that develops computer systems, which are able to perform tasks generally having need of human intelligence. While healthcare communication is important in order to tactfully translate and disseminate information to support and educate patients and public, ML is proven applicable in healthcare with the ability for complex dialogue management and conversational flexibility. In this topical review, we will highlight how the application of ML/AI in healthcare communication is able to benefit humans. This includes chatbots for the COVID-19 health education, cancer therapy, and medical imaging.


2018 ◽  
Vol 14 (2) ◽  
pp. 145 ◽  
Author(s):  
Siti Rohaya Mat Rahim ◽  
Zam Zuriyati Mohamad ◽  
Juliana Abu Bakar ◽  
Farhana Hanim Mohsin ◽  
Norhayati Md Isa

This study examines the two important aspect of latest technology issues in Islamic finance that related to artificial intelligence (AI) and smart contract. AI refers to the ability of machines to understand, think, and learn in a similar way to human beings, indicating the possibility of using computers to simulate human intelligence. Smart contract is a computer code running on top of a block-chain containing a set of rules under which the parties to that smart contract agree to interact with each other. The main objectives of this article are to evaluate the operations of AI and smart contract, to make comparison between the operations of AI and smart contract. This article concludes that AI and smart contract will have a huge impact in future for Islamic Finance industry.


2018 ◽  
Vol 2018 (71) ◽  
pp. 46-52
Author(s):  
Richard Bordenave

2018 ◽  
Vol Volume 11 ◽  
pp. 321-330
Author(s):  
Zoya Aleksanyan ◽  
Olga Bureneva ◽  
Nikolay Safyannikov

2020 ◽  
Vol 11 (2) ◽  
pp. 41-47
Author(s):  
Amandeep Kaur ◽  
Madhu Dhiman ◽  
Mansi Tonk ◽  
Ramneet Kaur

Artificial Intelligence is the combination of machine and human intelligence, which are in research trends from the last many years. Different Artificial Intelligence programs have become capable of challenging humans by providing Expert Systems, Neural Networks, Robotics, Natural Language Processing, Face Recognition and Speech Recognition. Artificial Intelligence brings a bright future for different technical inventions in various fields. This review paper shows the general concept of Artificial Intelligence and presents an impact of Artificial Intelligence in the present and future world.


Author(s):  
Alejandro Londoño-Valencia

For several decades the term Artificial Intelligence, coined by John McCarthy in 1956, is being used to generate complex computer solutions to everyday problems and for the development of technologies based on the conceptualization about human intelligence, allowing imitate it the more closely possible. Although there have been major advances in this field, there has not been possible to create a computer or a sufficiently complex algorithm that allow to make undifferentiated the human intelligence of the artificial intelligence, such as proposed by Alan Turing in his famous test. For this reason it is important to reflect on the reasons for not been able to reach this ambitious goal, so an analytical and compared proposal is presented in this paper about the limits of AI paired against the psychobiological characteristics and processes that support the intelligence in humans.Keywords: artificial intelligence, human intelligence, adaptation, development, biology, evolution.


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