Moving in sync – concordance betweena artificial intelligence and cardiologist on detecting normal electrocardiograms

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Mehta ◽  
J Avila ◽  
C Villagran ◽  
F Fernandez ◽  
S Niklitschek ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Reading Program ◽  
Medical Community ◽  
Digital Platforms ◽  
Grand Total ◽  
Life Saving ◽  
The One ◽  
Telemedical System ◽  
Modern Technologies

Abstract Background Merging modern technologies with classic diagnostic tests often results in a sense of insecurity within the medical community, particularly so with potentially life-saving studies such as the electrocardiogram (EKG). In order to provide a greater sense of trust between Artificial Intelligence (AI) and cardiologists, we provide an AI-driven algorithm capable of accurately and reliably characterize an EKG as normal within a highly complex, cardiologist-reviewed EKG database and report the degree of concordance between this machine vs physician scenario. Purpose To provide a dependable and accurate AI algorithm that conducts EKG interpretation in a cardiologist-tier manner. Methods The International Telemedical System (ITMS) developed and tested an EKG assessing AI algorithm and incorporated it into the workflow of their Telemedicine Integrated Platform, a digital EKG reading program where cardiologists continuously report their findings remotely in real-time. During the month of April 2,019; 35 ITMS cardiologists reported a grand total of 61,441 EKG records, later submitting them to the AI algorithm implemented through the “One Click Report” process. Through this simple 2-step approach, the algorithm provides a suggestion of “Normal” or “Abnormal” to the cardiologist based on the patterns of the fiducial points included in said EKG reports. Confirmation of these suggestions by the cardiologists ensued. Results Overall, cardiologists confirmed 23,213 out of 25,013 AI outputs for “Normal” EKGs, demonstrating a concordance of 92.8% for Normal diagnosis. Conclusion Through this methodology, we provide an AI technology that can be reliably applied and trusted in EKG digital platforms to identify and suitably label a normal EKG. Further testing will accrue into a multi label algorithm compatible with abnormal cardiovascular entities, potentially precluding the role of the cardiologist for triaging, particularly in the prehospital setting. We anticipate that this approach will become a promising methodology in modern cardiology practice. Funding Acknowledgement Type of funding source: None

Reconfiguring traditional EKG interpretation with artificial intelligence – a reliable, time-saving alternative?

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Mehta ◽  
M Gibson ◽  
J Avila ◽  
C Villagran ◽  
F Fernandez ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Reading Program ◽  
Key Factors ◽  
Patient Centered ◽  
Time Saving ◽  
Grand Total ◽  
Innovative Methodology ◽  
Work Shifts ◽  
The One ◽  
Telemedical System

Abstract Background Time and accuracy are key factors that may make or break an efficient triage and management in most medical premises, particularly so when expedited diagnosis saves lives - a not so uncommon scenario in the field of cardiology. By studying the different variables involved in cardiologist-EKG interactions that lead to the identification and management of different cardiovascular entities, we delved into the applications of Artificial Intelligence (AI) algorithms in order to improve upon the classic, but dated, EKG methodology. With this study, we pit our algorithm against cardiologists to perform a thorough analysis of the time invested to diagnose an EKG as Normal, as well as an assessment of the accuracy of said label. Purpose To present a faster and reliable AI-guided EKG interpretation methodology that outperforms cardiologists' capabilities in identifying Normal EKG records. Methods The International Telemedical System (ITMS) developed and tested an EKG assessing AI algorithm and incorporated it into the workflow of their Telemedicine Integrated Platform, a digital EKG reading program where cardiologists continuously report their findings remotely in real time. During the month of April 2019; 35 ITMS cardiologists reported a grand total of 61,441 EKG records, later subjecting them to the AI algorithm, implemented through the “One Click Report” process. Through this simple 2-step approach, the algorithm provides a suggestion of “Normal” or “Abnormal” to the cardiologist based on the patterns of the fiducial points included in said EKG reports. A comparison of the time of normal EKG diagnosis is made and the correlation between AI and cardiologists is assessed. Results On average, our AI algorithm discerned a normal EKG within 30.63s (95% CI 26.51s to 34.75s), in solid contrast with cardiologists' interpretations alone, which amounted to 83.54s (95% CI from 69.43s to 97.65s). This accounts for an overall saving of 52.91s (95% CI 42.45s to 63.83s) by implementing this innovative methodology in a cardiologist practice. In addition, this method correctly reported 23,213 Normal EKG records out of the total 25,013 AI output, reaching a 92.8% correlation between man and machine. The total average time saved in normal EKG readings with AI (23,213) would accrue an approximate of 20,470 minutes (ie, 42 8-hours work shifts worth of time dedicated to diagnosing a normal EKG). Conclusions The implementation of automated AI-driven technologies into daily EKG interpretation tasks poses an attractive time-saving alternative for faster and accurate results in a modern cardiology practice. By further expanding on the concept of an intelligent EKG characterization device, a more efficient and patient-centered clinical exercise will ensue. Funding Acknowledgement Type of funding source: None

Role of 5G network technology and artificial intelligence for research and reform of english situational teaching in higher vocational colleges

2020 ◽  
pp. 1-12
Author(s):  
Xiaoru Gao
Keyword(s):  
Artificial Intelligence ◽  
Data Processing ◽  
Teaching Method ◽  
Network Technology ◽  
5G Network ◽  
Backhaul Link ◽  
Vocational Colleges ◽  
The Many ◽  
The One

In order to study the role of English situational teaching in higher vocational colleges, based on information technology and artificial intelligence, this research combines with the needs of English teaching to construct a English situation teaching in higher vocational colleges with the support of 5G network technology and artificial intelligence. Moreover, this research builds a data processing model based on the system architecture diagram of cache placement, uses storage space and computing resources to save more backhaul link bandwidth, and adopts the “many to many” algorithm extended by the “one to many” algorithm, and uses the on-demand method to obtain scenario teaching data from the cloud. In addition, this research constructs the intermediate link of data processing, and uses 5G network transmission to solve the problem of data transmission speed. Finally, this study uses a controlled experiment to evaluate the effectiveness of the artificial intelligence teaching model constructed in this study. The research shows that the English situation teaching method based on 5G network technology and artificial intelligence in vocational colleges has a certain effect and can effectively improve the English scores of vocational college students.

scholarly journals Creative Documentary Today: Challenges and Opportunities for Directors and Producers

2018 ◽  
Author(s):  
Željko Mirković
Keyword(s):  
Digital Platforms ◽  
Advantages And Disadvantages ◽  
Development Direction ◽  
Challenges And Opportunities ◽  
Risk Situation ◽  
The One ◽  
High Risk Situation ◽  
The Right ◽  
New Situation

In today’s creative documentary, a director often decides to simultaneously assume the role of producer. This new situation has its own advantages and disadvantages. On the one hand, it gives the director/producer more freedom in story development and in leading a project. In addition, he or she is able to work more flexibly with the film budget and has a chance to change the direction of the project while following the storyline without fear that a producer will refuse such ideas. This position gives the director/producer room to work with smaller budgets and to claim the entire profit in the end. On the other hand, he or she must be prepared to work within a high-risk situation and assume complete responsibility.The new digital economy has opened opportunities to identify the most innovative ways to integrate digital platforms into the phases of story development, direction, promotion, and distribution of documentaries, thus allowing filmmakers to identify their niche audiences, build new value with it and find the right ways for monetization and revenue increase. Article received: December 30, 2017; Article accepted: January 10, 2018; Published online: April 15, 2018; Preliminary report – Short Communications How to cite this article: Mirković, Željko: "Creative Documentary Today: Challenges and Opportunities for Directors and Producers." AM Journal of Art and Media Studies15 (2018): . doi: 10.25038/am.v0i15.240

scholarly journals MODERN TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN THE DESIGN OF INTERIOR SPACES

2021 ◽  
Vol 03 (06) ◽  
pp. 199-211
Author(s):  
Ahmed Hamid FALIH ◽  
Rajaa Saadi LAFTA
Keyword(s):  
Artificial Intelligence ◽  
Interior Design ◽  
Modern Technology ◽  
Functional Interaction ◽  
Human Needs ◽  
Interior Spaces ◽  
The World ◽  
Effective Role ◽  
Modern Technologies

The pursuit of technology has actively contributed to building advanced societies that have facilitated many human needs, shortened distances, and connected the world with important steady steps in all sciences, especially arts and engineering, including the interior design arts that have developed in the last decade to a point that is almost the top of technical treatments and their effective role at the level of The artificial intelligence that granted the specialist (the interior designer) a new status that is reflected in the transcendence and sophistication, and in it the characteristics of functional interaction and its aesthetic relations appear, so the current study is a cognitive key in identifying the mother of the features of modern technology and the role of artificial intelligence in the production of new designs that fit the needs of the institutional and social individual.

scholarly journals Transformations in the Recruiting Services and Digitalization

2021 ◽  
Vol 93 ◽  
pp. 04005
Author(s):  
Irina Shapovalova ◽  
Alexander Pavlov
Keyword(s):  
Artificial Intelligence ◽  
Service Industry ◽  
Theoretical Background ◽  
Economic Behavior ◽  
Digital Environment ◽  
Digital Platforms ◽  
Wide Range ◽  
Distance Work ◽  
Digital Processes

The article discusses a scope of relevant issues concerning recruitment market; in particular, its analysis in the conditions of digitalization. It assesses the companies’ strategies of the economic behavior and defines their priority development strategies while focusing on the outcome of each applied strategy. The study determines the role of the employee in the digital economy and the role of the recruiting services in the service industry. Its main objective is to review and study the digital processes inherent to the recruitment industry as well as the tendencies in the recruitment market and to outline the principles of work and organization of recruitment agencies. The theoretical background of the study is based on the related publications by Russian and foreign researchers dedicated to a wide range of issues; the ones subject to analysis include development of Russia’s recruitment market in retrospect, current condition of the recruitment market, pros and cons of artificial intelligence technologies used in the field and prospects of gaining profit from using both artificial intelligence technologies and regular employees in the key areas of HR agencies’ work (staffing, training, job simulation). Much attention is paid to the distance work performed by HR agencies, specifically, to b-2-b and b-2-c concepts as well as to the digital platforms providing for the performance of such activities. Additionally, the research deals with the complexities and bottlenecks that recruitment agencies face with when working with the digital environment; it provides examples of the transformation processes that have been observed in the principles of the HR technologies application due to the digitalization effects and elicits the omnipresence of the digital environment in all the branches of the recruiting services while suggesting efficient tools, platforms and patterns that can be workable in the industry.

scholarly journals The role of the globalization process in the formation of the digital economy

KANT ◽  
2020 ◽  
Vol 37 (4) ◽  
pp. 77-81
Author(s):  
Boris Doronin ◽  
Irina Glotova ◽  
Elena Tomilina
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Information Flows ◽  
Global Level ◽  
Financial Flows ◽  
Digital Platforms ◽  
Fourth Industrial Revolution ◽  
Economic Ties ◽  
Global Data

The article highlights and analyzes the preconditions and main aspects of the formation of digital globalization, including the achievements of the fourth industrial revolution, artificial intelligence technologies, global data and information flows, digital platforms and e-commerce. While financial flows and traditional trade in goods at the global level are declining due to the worldwide COVID-19 pandemic, global digital economic ties, on the contrary, are expanding significantly.

scholarly journals Artificial Intelligence: Serving American Security and Chinese Ambitions

2020 ◽  
Vol 4 (3) ◽  
pp. 42-52
Author(s):  
H. Obeid ◽  
F Hillani, ◽  
R. Fakih ◽  
K. Mozannar
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Technological Development ◽  
The United States ◽  
New Era ◽  
The Us ◽  
The One ◽  
The Right ◽  
Technological Strength

In recent years artificial intelligence has entered a new era, which gives rise to many hopes for powerful states such as the United States and China. In this paper, we analyze the importance and role of artificial intelligence in technological development in each of the two countries on the one hand, and its influence on China-American relations in terms of technological and geopolitical conflict. To get the right results, we rely on a literature review of dozens of articles published on the phenomenon in order to compare the power of artificial intelligence between the United States and China where we found that the US still has technological strength, especially in the field of artificial intelligence, but we can say that a large force is beginning pose a threat for it which is China that has great technological capabilities so, we can say that the United States should work more in this field. Also, we found that artificial intelligence has a primary goal in both countries, it helps China to achieve its ambitions to be the leader of the world, and this intelligence, on the other hand, provides protection and security to the United States. This paper is divided into three sections. The first section focuses on the importance of artificial intelligence in achieving China’s ambitions, the second section explains the role of artificial intelligence in the US protection service, and the third section describes the technological and geopolitical conflict resulting from the competition in artificial intelligence between these two countries. Keywords: Artificial intelligence, United States, China, Conflict, leader.

scholarly journals Big Data: From modern fears to enlightened and vigilant embrace of new beginnings

2020 ◽  
Vol 7 (2) ◽  
pp. 205395172093670
Author(s):  
Nicole Dewandre
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Black Box ◽  
Optimal Policies ◽  
Three Stages ◽  
Asymmetrical Power ◽  
New Beginnings ◽  
The One

In The Black Box Society, Frank Pasquale develops a critique of asymmetrical power: corporations’ secrecy is highly valued by legal orders, but persons’ privacy is continually invaded by these corporations. This response proceeds in three stages. I first highlight important contributions of The Black Box Society to our understanding of political and legal relationships between persons and corporations. I then critique a key metaphor in the book (the one-way mirror, Pasquale’s image of asymmetrical surveillance), and the role of transparency and ‘watchdogging’ in its primary policy prescriptions. I then propose ‘relational selfhood’ as an important new way of theorizing interdependence in an era of artificial intelligence and Big Data, and promoting optimal policies in these spheres.

scholarly journals Artificial intelligence methodology: multi-label classification of abnormal EKG records

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Mehta ◽  
J Avila ◽  
C Villagran ◽  
F Fernandez ◽  
S Niklitschek ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Performance Indicators ◽  
Funding Source ◽  
Training Set ◽  
Average Accuracy ◽  
Cardiac Disorders ◽  
The Mean ◽  
The One ◽  
Telemedical System

Abstract Background Our previous experience with Artificial Intelligence (AI)-conducted EKG characterization displayed outstanding results in fast and reliable identification of Normal EKGs within the International Telemedical System (ITMS)'s massive record repository. By expanding the array of recognizable cardiovascular entities, we upgraded our methodology to accurately discriminate an anomaly amongst a highly complex database of EKG records. Purpose To present a feasible AI-guided filter that can accurately discriminate and classify Normal and Abnormal EKG records within a multilabeled cardiologist-annotated EKG database. Methods ITMS developed and tested the “One Click”' process, a “Normal/Abnormal” EKG assessing AI algorithm, by incorporating it into their digital EKG reading platform where cardiologists continuously report their findings remotely in real time. To ameliorate the diagnostic range of the algorithm, a separate dataset of 121,641 12-lead EKG records was consolidated from the ITMS database from October 2011 to January 2019. Only de-identified data was used. Preprocessing: The first 2s of each short lead and 9s of the long lead were considered. Limb leads I, II and III; and precordial leads V1, V2, V3, and V5 were used. The mean was removed from each lead. AI models/Classification: Two models were created and tested independently based on the method of EKG acquisition (69,852 records transtelephonic [TTP]; 52,259 mobile transmission [MOB]). Each record is categorized into six disjoint classes based on the most common types of cardiac disorders (Low/null co-occurrence pathologies in these datasets were grouped into analogous groups). Training/Testing: Distribution of both sets per transmission type was performed through a greedy algorithm, which identified multiple diagnoses per EKG record and labeled it separately to the corresponding group, ensuring sufficient samples per class. Detailed class distribution is shown below. An inception convolutional neural network was implemented; “Normal” or “Abnormal” labels were assigned to each EKG record independently and were compared to cardiologists' reports; performance indicators were calculated for each model and group. Results MOB model accrued an average accuracy of 86.7%; sensitivity of 90.5%; and specificity of 83.9%. TTP model yielded an average accuracy of 77.2%; sensitivity of 91.1%; and specificity of 69.4% (Lower values were attributed to the “Ventricular Complexes” group, which challenged the algorithm by having a smaller ratio of abnormal exams). Detailed results of each training set are shown below. Conclusion Providing an effective and reliable multilabel-capable EKG triaging tool remains a challenging but attainable goal. Continuous systematic enhancement of our AI-driven methodology has led us to satisfactory, yet imperfect results which compel us to further study and improve our efforts to provide a trustworthy cardiologist-friendly triage device. Funding Acknowledgement Type of funding source: None

scholarly journals Czy świat algorytmów i sztucznej inteligencji będzie sprawiedliwy? Wykorzystywanie nowoczesnych technologii, algorytmów i modeli predykcyjnych w wymiarze sprawiedliwości

2021 ◽  
pp. 305-334
Author(s):  
Jacek Sobczak
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Predictive Models ◽  
Social Consequences ◽  
The European Union ◽  
Council Of Europe ◽  
The Right ◽  
Philosophical Questions ◽  
Modern Technologies

The possibility of using artificial intelligence, modern technologies and algorithms, and going into more details – predictive models, in the judiciary, which was predicted by the authors of science fiction books, has become a fact today. However, this raises a number of concerns, mainly of an ethical nature, and the need to answer philosophical questions regarding the role of a judge, the tasks of the judiciary, access to a court, and the right to defense. Both in the legal system of the Council of Europe and the European Union, numerous normative acts have been made to regulate these issues, but they should be continued and even deepened so that technological progress doesn’t surprise lawyers and doesn’t cause irreversible social consequences.

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