Abstract
The development of new technologies such as information and communication technologies, electronics, sensor technology, etc. lead to the development of service robots and systems, which are used in all segments of human life. One of the most important roles of service robots today is application in the field of medicine. Service robots in medical institutions are used to perform simple or complex tasks. Simple tasks include deliveries of drugs, food or mail to medical facilities, while complex tasks include robotic systems used in operating rooms or even to perform operations using suitable robotic systems whose design and applied technology allow it, such as Zeus and Da Vinci systems. Service robots help doctors perform their tasks easier, safer, more accurately and faster. The paper illustrates examples of the application of service robots in diagnostics, radiation, surgery, remote treatment, rehabilitation, drug distribution, patient care and disinfection of rooms in medical institutions. The rapid development of new technologies had made it possible to free people from routine mental activities, and in the future more and more complex thought activities, such as: learning, analyzing, adapting, concluding, making decisions, etc. We come to the conclusion that there is a need for the application of artificial intelligence. The combination of service robots and artificial intelligence leads to the development of autonomous systems. Autonomous systems are developed in a targeted way so that they can surpass man himself in some properties, such as: physical strength, memory capacity, computational speed, parallel execution of several control actions, etc. The paper presents the role and application of artificial intelligence in diagnostics and treatment of various diseases.
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Karabegović, I., Husak, E., Isić, S., Karabegović, E., Mahmić, M. (2021). Service Robots and Artificial Intelligence for Faster Diagnostics and Treatment in Medicine. In: Karabegović, I. (eds) New Technologies, Development and Application IV. NT 2021. Lecture Notes in Networks and Systems, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-030-75275-0_1
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