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The purpose of this paper is to illuminate the ethical concerns associated with the use of artificial intelligence (AI) in the medical sector and to provide solutions that allow deriving maximum benefits from this technology without compromising ethical principles.

This paper provides a comprehensive overview of AI in medicine, exploring its technical capabilities, practical applications, and ethical implications. Based on our expertise, we offer insights from both technical and practical perspectives.

The study identifies several advantages of AI in medicine, including its ability to improve diagnostic accuracy, enhance surgical outcomes, and optimize healthcare delivery. However, there are pending ethical issues such as algorithmic bias, lack of transparency, data privacy issues, and the potential for AI to deskill healthcare professionals and erode humanistic values in patient care. Therefore, it is important to address these issues as promptly as possible to make sure that we benefit from the AI’s implementation without causing any serious drawbacks.

This paper gains its value from the combined practical experience of Professor Elhassan gained through his practice at top hospitals worldwide, and the theoretical expertise of Dr. Arabi acquired from international institutes. The shared experiences of the authors provide valuable insights that are beneficial for raising awareness and guiding action in addressing the ethical concerns associated with the integration of artificial intelligence in medicine.

Based on stimulus-organism-response theory, this study aims to develop and tests a model of memorable heritage tourism experience (MHTE). The model proposes that experiencescape, experience co-creation, education and photography are important antecedents of MHTE, which is then a driver of place attachment.

Data for this study were collected using a Web-based questionnaire of people aged 18 years and over who had a heritage tourism experience during the previous three months (February–April 2023). The survey was distributed in May 2023 using Amazon Mechanical Turk (MTurk). A survey link was posted on MTurk, which remained active for the first week of May 2023. Out of the 283 responses received, 272 were valid responses from individuals who met the participation criteria.

Experiencescape, experience co-creation, education and photography were found to be positive drivers of the MHTE, with a positive relationship between MHTE and place attachment.

Many studies linked to memorable tourism experience (MTE) mainly replicate Kim, Ritchie, & McCormick’s (2012) MTE scale, regardless of the specific study context. This study offers an alternative framework through which alternative antecedents and outcomes of tourists’ MTE can be identified.