Last update:
29-Sep-2025

The use of Information and Communication Technologies (ICT) and Artificial Intelligence (AI) systems in the healthcare sector impacts digital transformation through automation, the collection and processing of large volumes of complex data, and accessibility to healthcare services. This leads to more effective, efficient, and comprehensive healthcare delivery to citizens. Additionally, there are ethical issues related to these technologies that need to be addressed, such as data security, transparency, and accountability in technology use, as well as algorithmic biases, which involve the use of non-representative data or unfair categorizations that can exacerbate inequalities in healthcare. Despite these shortcomings, the development of AI algorithmic techniques, such as machine learning, artificial neural networks, and deep learning continues. Through these techniques, AI influences various categories of healthcare interventions, such as treatment, rehabilitation, precision medicine and administrative functions. Notable examples of focused applications in diagnosis include the detection of brain injuries, precancerous lesions, atrial fibrillation, and mental disorders, while in robotics, companion robots either facilitate the daily lives of the elderly and patients or assist healthcare staff in their clinical routine.

Key words: AI applications in healthcare, Artificial intelligence, Digital transformation, Ethics.