The research intends to explore how Artificial Intelligence (AI) and computing technology can be used to create a more immersive and enjoyable experience within the context of a museum visit. Specifically, the study aims to identify ways in which AI and computing technologies can be leveraged to enrich the visitor’s experience, including by providing interactive content, automated personalization, and real-time access to relevant information. Additionally, the research will assess the potential for AI and computing technology to support improved data analytics and utilization of resources within museums, such as enhanced curation, digital preservation, and increased engagement with audiences. The study employed a qualitative methodology, utilizing interviews with museum professionals and surveys of museum visitors to collect data on visitor experiences. An analysis of the data was conducted to identify current and potential uses of AI and computing technology in art museums. The findings reveal that AI and computing technology are currently being used to facilitate access to collections, tour guidance, and educational activities while emerging technologies show promise for providing even more immersive and personalized visitor experiences. The results of this study suggest that AI and computing technology can play an important role in enhancing the visitor’s museum experience. The research provides recommendations for art museums to leverage AI and computing technology to optimize visitor engagement and foster more meaningful connections with works of art.

Mental illness, creativity, and visual art are often influenced by each other. Medical science proved that highly creative people are suffering from a different kind of mental illness or disorder. Mental illness and creativity is a comprehensive process and influenced by internal and external factor. The purpose of this research was to analyze the influences of the mental illness on creativity in visual art such as schizophrenia disorder, mood disorder, alcoholism, bipolar disorder, hereditary psychosis, manic depression, etc. The study investigated the mental illnesses impact on the perception of the artist and their artwork. This paper argues that what and how mental disorder are positively associated with creativity and evolutionary perspective in between madness behavior and creativity through visual art. The study aim was to bring up the latest literature as well as the epidemiologic and hypothetical argument of this subject matter.

The manuscript focuses on the autobiographical artistic practice of women artists and feminist expression in visual art, particularly those women artists who use embroidery and textiles as mediums, techniques, processes, styles, subjects, and themes. Women artists often use a variety of unique materials and techniques to create artwork which are primarily related to them and show a feminist identity. The research explores the mediums, tools and techniques applied by women artists in their artworks and the reasons behind choosing that particular medium and methods. In addition, women artists when, where, and how these diverse creation strategies have been adopted and developed over time are examined and analysed with the help of earlier literature, articles, research papers, art exhibitions, and artworks created by women artists. This manuscript discusses the chronological development of embroidery and textiles in the context of women’s art practice, the efforts and achievements of the “Feminist Art Movement” and the cause and concept of “Entangled: Threads & Making”, a contemporary woman artist art exhibition at Turner. Embroidery and textiles are associated with women’s art practice; women artists used embroidery, needlework, and textiles as a powerful symbolic medium of expression and resistance against the male-dominated art society. They began to use feminist expressions, forms, and materials to present their new characteristics. Women artists use embroidery, textiles and needlework as feminist traditional materials and techniques, and continue to struggle to blend them with other new contemporary mediums.

No abstract

This study focuses on the potential application of Artificial Intelligence (AI) in healthcare and hospitals to improve the quality of services for patients. The research objectives include the investigation of existing AI use cases in healthcare, exploration of potential areas in which AI can best be applied, and identification of the challenges to successful AI application. This research utilizes both primary and secondary data sources to investigate the potential of AI in healthcare and hospitals. The primary data is collected through published research papers, technical reports, and industry news to gain an understanding of the current state of AI applications in healthcare. The secondary data is gathered from expert opinions with experienced healthcare professionals such as physicians, hospital administrators, and IT experts to gain insights into existing use cases and potential applications of AI in healthcare and hospitals. The results of the study demonstrate that AI has a significant potential to deliver enhanced outcomes in various aspects of healthcare and hospitals, including diagnosis, treatment, and management. However, the successful integration of AI requires overcoming numerous challenges such as regulatory standardization, privacy protection, and data availability. To foster a positive development of AI in healthcare, it is recommended that healthcare organizations enhance their digital capabilities, enable secure data sharing and collaboration, and use AI tools to deliver a more comprehensive and personalized patient care experience.