Abstract: The development of science and technology in recent years, due to the requirements of different areas for the implementation of these technologies, has oriented higher education institutions at the international level, to adapt and focus on the educations of professionals and development of advanced technological skills and competencies [1]. These needs are particularly evident in the field of applied sciences and medicine, where great achievements have been recorded in recent years [2]. Meanwhile, in our country, although in many areas of life there are advances in the implementation of smart technologies and artificial intelligence [7], there is still a low level of professional training, advanced university education on the big data analysing, machine learning and artificial intelligence (AI). AI can provide a great support to learners through academic sustainability or discontinuation predictions [3]. Many examples show how it evolves and exerts its potential over time. By utilizing AI in education, we can increase its potential use of applications, its visualization, prognosis and prediction [6]. In our study we made a wide analysis of the AI contribution in different areas of applications and explore the present situation of how the higher education institutions (HEIs) in Albania are prepared and focused to provide various programs or courses in AI knowledge provision, learner evaluation, and learner counselling methods. Our findings highlight the expertise required for future study programs updating by HEIs in Albania in AI application in different fields. Regarding practical implications, this study addresses the topic of AI innovations affecting all life domains, relevance to applied sciences and medicine. Based on our research, we highlight the implications in the review of the content of the study programs, starting from the review of existing literature and also the updating the content with AI applications the study programs [12].
Abstract: In radiotherapy, medical physicists give a major contribution to the safe and effective radiation treatment for patients with cancer. Megavoltage linac photon outputs are determined using the IAEA TRS-398 code of practice or AAPM TG-51 and the results are compared. Beam calibration means: determination of absorbed dose to water per 100 monitor units in a water phantom at reference conditions. The measured dose Dw,Q in water at reference point is a primary parameter for planning the treatment monitor units (MU). Traceability of dose accuracy therefore still depends mainly on the calibration factor of the ion chamber/dosimeter provided by the accredited laboratories. Our data therefore imply that the dosimetry level maintained for clinical use of linear accelerator photon beams are within recommended levels of accuracy, and uncertainties are within reported values. However, in Albania the frequently problem is related to resources with respect to both, qualified teachers and equipment, that are at disposal for teaching and training. The concepts of e-learning methods using different non commercial software, contribute to overcome this problem. In our case, we use an academic education method to practise radiation oncologists and medical physicists for LINAC beam calibration using a virtual simulator program and Matlab. Our group, after some experiences in calculation methods using Matlab, is focused on a PC based program which simulates the required equipment, the measurement setup , and the measurement itself. All procedures are modelled according to the IAEA Code of Practice, TRS 398
