The potential application of artificial intelligence in transport

2006 ◽  
Vol 153 (3) ◽  
pp. 183 ◽  
Author(s):  
J.C. Miles ◽  
A.J. Walker
Keyword(s):  
Artificial Intelligence ◽  
Potential Application

Evidence of a Tense Shift in Personal Experience Narratives

1986 ◽  
Vol 4 (2) ◽  
pp. 151-162 ◽  
Author(s):  
Alynn Day Harvey
Keyword(s):  
Artificial Intelligence ◽  
Potential Application ◽  
Personal Experience ◽  
Present Tense ◽  
Personal Experience Narratives

“Danger of death” narratives were collected and analyzed for their use of the historical present tense. The historical present tense in these narratives serves as a signal which fingerprints their identity as “danger of death” narratives and, thus, has a potential application in artificial intelligence programs.

Artificial intelligence in radiation oncology: A review of its current status and potential application for the radiotherapy workforce

Radiography ◽  
2021 ◽  
Vol 27 ◽  
pp. S63-S68 ◽  
Author(s):  
C. Parkinson ◽  
C. Matthams ◽  
K. Foley ◽  
E. Spezi
Keyword(s):  
Artificial Intelligence ◽  
Radiation Oncology ◽  
Potential Application ◽  
Current Status

scholarly journals USE OF ARTIFICIAL INTELLIGENCE TECHNIQUES FOR PROGNOSTICS: NEW APPLICATION OF ROUGH SETS

2014 ◽  
pp. 73-81
Author(s):  
Janusz Zalewski ◽  
Zbigniew Wojcik
Keyword(s):  
Artificial Intelligence ◽  
Systems Engineering ◽  
Rough Sets ◽  
Potential Application ◽  
Artificial Intelligence Techniques ◽  
Technical Systems

The objective of this paper is to set the context for the potential application of rough sets in prognostics. Prognostics is a field of engineering, which deals with predicting faults and failures in technical systems. Engineering solutions to respective problems embrace the use of multiple Artificial Intelligence (AI) techniques. The authors, first, review selected AI techniques used in prognostics and then propose the application of rough sets to build the system health prognostication model.

scholarly journals Artificial intelligence for target prostate biopsy outcomes prediction the potential application of fuzzy logic

2021 ◽  
Author(s):  
Enrico Checcucci ◽  
Samanta Rosati ◽  
Sabrina De Cillis ◽  
Marica Vagni ◽  
Noemi Giordano ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Prostate Biopsy ◽  
Potential Application

scholarly journals The potential application of artificial intelligence for diagnosis and management of glaucoma in adults

2020 ◽  
Vol 134 (1) ◽  
pp. 21-33
Author(s):  
Cara G Campbell ◽  
Daniel S W Ting ◽  
Pearse A Keane ◽  
Paul J Foster
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
External Validity ◽  
Potential Application ◽  
Imaging Techniques ◽  
Learning Algorithms ◽  
Black Box ◽  
Junior Doctors ◽  
Glaucomatous Damage ◽  
Training Tool

Abstract Background Glaucoma is the most frequent cause of irreversible blindness worldwide. There is no cure, but early detection and treatment can slow the progression and prevent loss of vision. It has been suggested that artificial intelligence (AI) has potential application for detection and management of glaucoma. Sources of data This literature review is based on articles published in peer-reviewed journals. Areas of agreement There have been significant advances in both AI and imaging techniques that are able to identify the early signs of glaucomatous damage. Machine and deep learning algorithms show capabilities equivalent to human experts, if not superior. Areas of controversy Concerns that the increased reliance on AI may lead to deskilling of clinicians. Growing points AI has potential to be used in virtual review clinics, telemedicine and as a training tool for junior doctors. Unsupervised AI techniques offer the potential of uncovering currently unrecognized patterns of disease. If this promise is fulfilled, AI may then be of use in challenging cases or where a second opinion is desirable. Areas timely for developing research There is a need to determine the external validity of deep learning algorithms and to better understand how the ‘black box’ paradigm reaches results.

Artificial intelligence to diagnose ear disease using otoscopic image analysis: a review

2021 ◽  
pp. jim-2021-001870
Author(s):  
Therese L Canares ◽  
Weiyao Wang ◽  
Mathias Unberath ◽  
James H Clark
Keyword(s):  
Artificial Intelligence ◽  
Image Analysis ◽  
Literature Review ◽  
Potential Application ◽  
Visual Detection ◽  
Cost Effective ◽  
Accurate Diagnosis ◽  
Human Cognition ◽  
Human Intelligence ◽  
Comprehensive Literature Review

AI relates broadly to the science of developing computer systems to imitate human intelligence, thus allowing for the automation of tasks that would otherwise necessitate human cognition. Such technology has increasingly demonstrated capacity to outperform humans for functions relating to image recognition. Given the current lack of cost-effective confirmatory testing, accurate diagnosis and subsequent management depend on visual detection of characteristic findings during otoscope examination. The aim of this manuscript is to perform a comprehensive literature review and evaluate the potential application of artificial intelligence for the diagnosis of ear disease from otoscopic image analysis.

Artificial intelligence and crime: A primer for criminologists

2020 ◽  
pp. 174165902091743
Author(s):  
Keith J Hayward ◽  
Matthijs M Maas
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Reinforcement Learning ◽  
Criminal Justice ◽  
Potential Application ◽  
Scaling Up ◽  
General Review ◽  
The Third ◽  
Prediction And Prevention

This article introduces the concept of Artificial Intelligence (AI) to a criminological audience. After a general review of the phenomenon (including brief explanations of important cognate fields such as ‘machine learning’, ‘deep learning’, and ‘reinforcement learning’), the paper then turns to the potential application of AI by criminals, including what we term here ‘crimes with AI’, ‘crimes against AI’, and ‘crimes by AI’. In these sections, our aim is to highlight AI’s potential as a criminogenic phenomenon, both in terms of scaling up existing crimes and facilitating new digital transgressions. In the third part of the article, we turn our attention to the main ways the AI paradigm is transforming policing, surveillance, and criminal justice practices via diffuse monitoring modalities based on prediction and prevention. Throughout the paper, we deploy an array of programmatic examples which, collectively, we hope will serve as a useful AI primer for criminologists interested in the ‘tech-crime nexus’.

scholarly journals Contemporary Innovation Challenges – Future of Adoption Artificial Intelligence: Case of Estonia

2020 ◽  
Vol 1 (14) ◽  
pp. 217-225
Author(s):  
Valeria Gavrilova ◽  
Natalie Aleksandra Gurvitsh-Suits
Keyword(s):  
Artificial Intelligence ◽  
Potential Application ◽  
Research Question ◽  
Complete Understanding ◽  
Main Research ◽  
Raising Awareness ◽  
Starting Point ◽  
Wide Range ◽  
Further Development

Nowadays artificial intelligence is gaining popularity and brings changes into everyday lives and business. Latest research outline various options and challenges related to the implementation of artificial intelligence in different fields (Garbuio&Lin, 2019; Kumar et.al, 2019; Tambe et.al 2019). It is obvious that its adoption will have a notable significant impact on certain industries. However, it also requires complete understanding and awareness of main constraints and benefits. The aim of the present research is to find out the possibilities of adoption of the artificial intelligence in accounting industry in case of Estonia and its impact on the role of the accountant in the future. The main research question focuses on whether Estonian accountants are aware of the new opportunities related to the implementation of artificial intelligence and their openness to these challenges. Authors conducted a survey among Estonian accounting professionals and the results revealed limited knowledge, with people being aware of the meaning but having little or no idea about the basic components of artificial intelligence and wide range of a potential application. During the research, it became obvious that only few companies in Estonia are already using artificial intelligence: among the main reasons of non-adoption are lack of experience, lack of qualified professionals and the general complexity. Authors believe that the results of this study provide a starting point for companies involved in providing various modern technical support for accounting industry and may contribute to the raising awareness and further development of active successful adoption of artificial intelligence in Estonia.

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