The advancements in artificial intelligence are triggering discussions on transforming many processes in the industry, society or economy, including the healthcare sector. The new capabilities offered by emerging technologies applied in healthcare help deliver more accurate and efficient diagnoses and treatment options. Artificial intelligence models can be used for various purposes in healthcare, from functions such as personal assistant, up to analyzing data an providing recommendations for tasks such as medical imaging analysis, drug development, disease identification, and emergency support. Furthermore, artificial intelligence models can support research actions, to speed up the development of certain cures or medicines. They can also assist in detecting high-risk conditions in patients, discovering and researching new drugs and medicines, and developing of new treatment plans. However, these digital technologies come with cybersecurity risks, both due to the underlying technical systems, such as computers used, up to the risks or issues in the models themselves, which can lead to questions on the accuracy of the recommendations and solutions provided by the models, or data breaches and cyber-attacks. Such incidents can lead to serious consequences, including compromised data privacy and safety. This paper presents some potential use cases of the AI model in the healthcare industry. In addition, several cyber security recommendations are offered to ensure that the adoption and use of such emerging tools minimize potential cyber risks.