The dementia epidemic is progressing fast. As the world’s older population keeps skyrocketing, the traditional incompetent, time-consuming, and laborious interventions are becoming increasingly insufficient to address dementia patients’ health care needs. This is particularly true amid COVID-19. Instead, efficient, cost-effective, and technology-based strategies, such as sixth-generatio…
South Korean television shows are so prominent on Netflix that "K-dramas" is a default search keyword. K-drama is considered a "genre" alongside action, anime, comedy, and romance. Analyzing two Netflix K-dramas, Memories of the Alhambra and My Holo Love, this article theorizes how K-dramas adopt new media and technology both as subject and narrative devices, incorporating the pertinent charact…
This study aimed to identify the attitudes of Jordanian journalists towards robot journalism, and their effects on the employment of journalists, ethical and professional aspects in the field, and media language. This descriptive study used the survey method and questionnaire as a tool to collect data. The results showed that 56.7% of the sample refused to consider robot journalism as part of t…
This research examines the future of television work in light of the challenges posed by artificial intelligence (AI). The study aims to explore the impact of AI on the form and content of television messages and identify areas where AI can be employed in television production. This study adopts a future-oriented exploratory approach, utilizing survey methodology. As the research focuses on for…
Deep learning–based clinical imaging analysis underlies diagnostic artificial intelligence (AI) models, which can match or even exceed the performance of clinical experts, having the potential to revolutionize clinical practice. A wide variety of automated machine learning (autoML) platforms lower the technical barrier to entry to deep learning, extending AI capabilities to clinicians with li…
Background Applications of artificial intelligence (AI) in health care have garnered much attention in recent years, but the implementation issues posed by AI have not been substantially addressed. Objective In this paper, we have focused on machine learning (ML) as a form of AI and have provided a framework for thinking about use cases of ML in health care. We have structured our disc…
Abstract: Background Leveraging artificial intelligence (AI)–driven apps for health education and promotion can help in the accomplishment of several United Nations sustainable development goals. SnehAI, developed by the Population Foundation of India, is the first Hinglish (Hindi + English) AI chatbot, deliberately designed for social and behavioral changes in India. It provides a pri…
We derive a conceptual bridge between technical concepts from the deep learning literature and natural metaphors for international development. We start with a rather technical review of four of the characteristic traits of deep learning technologies: representation, reuse, robustness, regularization (4Rs of deep learning). Based on the empirical evidence of 24 case studies, we derive four char…
While artificial intelligence (AI) seemed until recently to be science fiction, countless corporations across the globe are now researching ways to implement this technology in everyday life. AI works by processing large quantities of data, interpreting patterns in that data, and then translating these interpretations into actions that resemble those of a human being. Scientists have used it to…
Background The use of artificial intelligence (AI) in the field of rehabilitation is growing rapidly. Therefore, there is a need to understand how physical therapists (PTs) perceive AI technologies in clinical practice. Objective This study aimed to investigate the knowledge and attitude of PTs regarding AI applications in rehabilitation based on multiple explanatory factors. Method…