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• Emphasizing the role of AI and telehealth in improving treatment outcomes among elderly patients

  82-83

  Maryam Mojisola Lasisi

  Emmanuel Temitope Adaranijo

  Views:

  50

  To establish the right diagnosis and treatment plan for a patient is at the core of any medical procedure but this is not without the need for utmost compliance of the patient. This is the case with the elderly when they do not understand their diagnosis, nor do they fully recognize the importance of adhering to the prescribed treatment plan. This study emphasizes the role of artificial intelligence and telehealth in achieving significant treatment compliance among elderly patients.

• Is there a synergy between artificial intelligence, Erasmus+ PEER-TRAIN training and MoodleCloud?

  64-65

  Anna Grabowska

  Views:

  36

  Artificial intelligence can be used in the teaching and training process to provide a personalized approach to each student. Erasmus+ PEER-TRAIN training focuses on developing the skills of teachers and trainers who work with youth and adults in the field of education and training.

• Redefining nursing skills in AI and robotisation, with a particular focus on conditions requiring long-term care

  126-145

  Anna Szőllősi

  Gábor Kismihók

  Ádám Keszler

  Annamária Karamánné Pakai

  Miklós Lukács

  Angelika Szatmári

  Adrienn Ujváriné Siket

  Views:

  234

  Owing to the enormous improvements in health and lifestyle over the last century, the average age has increased. Although longevity is an important achievement of the modern age, it is a challenge for the care of an ageing population. As people in the richest parts of the world live longer, there is a growing shortage of carers for an ageing population. This paper reviews the literature and describes the global challenges of caregiving, future issues in elderly care, the emergence of robotization in the field of nursing care and how this can contribute to improving the quality of care for the older people. It also discusses the experience of using robots in international and domestic elderly care and briefly describes how the use of AI-based technology has contributed to improving the effectiveness of care in the context of the coronavirus epidemic. The paper concludes by presenting a vision and directions for training development for Advance Practice Nurses, Register Nurses and post-secondary nurses, and other health care professionals to improve attitudes, enhance knowledge, and develop services to improve elderly care.

• Gerontological perspectives of Big Data analysis of mobile-based health data

  62-63

  Imre Töviskes

  Balázs Molnár

  Views:

  38

  The mass proliferation of smartphones with the features of general purpose computers is a major challenge for the iPhone in 2007. Medical use of these devices started in 2009 and today there are around 350,000 health apps in the world, are available, with hundreds of hundreds of millions of them, and they have more than 10 million users. Studies show that users are becoming more open to health apps and related mobile phone peripherals, use of assets (e.g. activity trackers).