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eng From intelligence to wisdom
Bahun, Vladimir
Radiološki vjesnik Vol. 44, No. 3, 2020
Importance of radiology as a profession is massive. Rarely will any hospitalised patient finish his journey without visiting the radiology department. So, if we develop a system that will help radiology to increase productivity and accuracy while keeping the patient safe, the effects of this technology will also be massive. Artificial Intelligence (AI) has shown a potential to be one possible technology to revolutionise the radiology service. Over the last ten years, publications on AI in radiology have increased from 100–150 per year to 700–...
Hrčak ID: 271298

Yaroshenko, Oleg M.; Melnychuk, Nataliia O.; Zhygalkin, Ivan P.; Silchenko, Serhii O.; Zaika, Daria I.
Informatologia Vol. 55, No. 1-2, 2022
The robotization process leads to the emergence of new subjects of legal regulation, which includes the search for new solutions in various areas of legal, economic and social development. The aim of the study. based on the analysis of international legal acts, the legislation of developed countries, as well as doctrinal provisions in the field of legal regulation of artificial intelligence, so it is necessary to characterize the directions, review the current state of research, list the main trends, and also make a comparative legal analysis o...
Hrčak ID: 269970

eng The use of artificial intelligence in interpreting the results of radiological imaging - opportunities and threats
Ręka, Gabriela; Machowiec, Piotr; Piecewicz-Szczęsna, Halina
Liječnički vjesnik Vol. 142, No. Supp 5, 2020
Introduction: Artificial intelligence (AI) is the system's ability to interpret data, learn from them, and use this knowledge to perform tasks. The development of modern intelligent systems in radiology has enabled us to use them in interpreting RTG, CT, MRI, and USG images.
Hrčak ID: 257340

eng Artificial Intelligence in Radiology
Filipović-Grčić, Luka; Đerke, Filip
Since its first use in medical purpose in the 1960s, the concept of artificial intelligence has been especially appealing to health care, particularly radiology. With the development of ever more powerful computers from the 1990s to the present, various forms of artificial intelligence have found their way into different medical specialties – most notably radiology, dermatology, ophthalmology, and pathology. Due to the growing presence of such systems, it is paramount for the specialists handling them to get acquainted with them in order to pro...
Hrčak ID: 226222

Banjac, Ilijana; Palić, Mirko
CroDiM Vol. 4, No. 1, 2021
Rapid development of artificial intelligence is transforming the world we live in. Advancement in technology and consumer's needs creates the urge for rapid adaptation by companies operating in a volatile and uncertain marketing environment in order to adequately shape their marketing decisions and achieve the best results on the market. The availability of information to consumers is greater than ever before causing an increase in the needs and demands they expect when buying and consuming a product or a service which results in higher efforts...
Hrčak ID: 254844

hrv Challenges of introducing artificial intelligence into radiological clinical practice
Bahun, Vladimir
Radiološki vjesnik Vol. 44, No. 3, 2020
We hope you have received a fair amount of all the positives when implementing Artificial Intelligence (AI) into the radiological service reading this Special Edition of our Journal. Now, in this paper, we will focus on the possible challenges and ethical concerns when implementing AI into radiology services. Since this is not a strictly scientific Journal, and for practical reasons, I will list findings and discuss them at the same time. We need to mention technical challenges when implementing AI into radiology practice for a start, but we...
Hrčak ID: 271301

eng Unibot, a Universal Agent Architecture for Robots
Zaharija, Goran; Mladenović, Saša; Maleš, Lada
Today there are numerous robots in different applications domains despite the fact that they still have limitations in perception, actuation and decision process. Consequently, robots usually have limited autonomy, they are domain specific or have difficulty to adapt on new environments. Learning is the property that makes an agent intelligent and the crucial property that a robot should have to proliferate into the human society. Embedding the learning ability into the robot may simplify the development of the robot control mechanism. The moti...
Hrčak ID: 179238

eng Artificial Intelligence in Medicine
Klarić, Ante; Karadža, Velimir
Radiološki vjesnik Vol. 45, No. 1, 2021
If one posed a question on how ready is the Republic of Croatia, for use of artificial intelligence in legal and legislative terms in medicine, the answer at this point would be – it is not. The fact is that processes in medicine involve the application of state-of-the-art technologies, as is artificial intelligence, but it is also a controversial fact that the health legislative system does not develop seemingly, in the direction in which it is assumed, according to standards that exist in other developed countries of Europe and the world. Our...
Hrčak ID: 264843

eng Would You Pass the Turing Test? Influencing Factors of the Turing Decision
Ujhelyi, Adrienn; Almosdi, Flora; Fodor, Alexandra
Psihologijske teme Vol. 31, No. 1, 2022
We aimed to contribute to the emerging field of human-computer interaction by revealing some of the cues we use to distinguish humans from machines. Maybe the most well-known method of inquiry in artificial intelligence is the Turing test, in which participants have to judge whether their conversation partner is either a machine or human. In two studies, we used the Turing test as an opportunity to reveal the factors influencing Turing decisions. In our first study, we created a situation similar to a Turing test: a written, online conversation...
Hrčak ID: 275628

eng A Framework for Designing Compassionate and Ethical Artificial Intelligence and Artificial Consciousness
Banerjee, Soumya
Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work, we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework for engineering intelligence, empathy, and consciousness in machines. We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. Our hope is that this will also shift the discussion from fear of artificial int...
Hrčak ID: 238034