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Traditional methods have their limitations when it comes to unraveling the mysteries of the small bowel, an area historically seen as the "black box" of the gastrointestinal tract. This is where capsule endoscopy and enteroscopy have stepped in, offering a remarkable synergy that transcends the sum of their individual capabilities. From their introduction, small bowel capsule endoscopy and device-assisted enteroscopy have consistently evolved and improved, both on their own and interdependently. Each technique's history may be told as a success story, and their interaction has revolutionized the approach to the small bowel. Both have advantages that could be ideally combined into a perfect technique: safe, non-invasive, and capable of examining the entire small bowel, taking biopsies, and applying therapeutical interventions. Until the realization of this perfect tool becomes a reality, the key for an optimal approach lies in the right selection of exploration method. In this article, we embark on a journey through the intertwined development of capsule endoscopy and enteroscopy, exploring the origins, technological advancements, clinical applications, and evolving inquiries that have continually reshaped the landscape of small bowel imaging. [ABSTRACT FROM AUTHOR]

The latest technological progress provided significant changes in the approach of several areas of daily life, healthcare, and research. In this context, there are many solutions based on artificial intelligence (AI) that were designed to provide assistance in repetitive, ultraprecision, and high-performance data analysis tasks. While the benefits of using AI in Medicine are suggestive, they are shadowed by potential limitations based on the perception of the targeted users due to lack of awareness, mistrust, and human versus machine controversy. Thus, we aimed to find the current opinion of the medical workers and students regarding the modern applications of AI in medical care and research. Using an online specialised platform, we conducted a survey addressed to the members of academic and healthcare community. They were invited to answer specific questions evaluating their knowledge on AI, and their availability to accept and use AI-based applications in daily life and profession. Also, they were challenged to identify advantages and weaknesses of AI-based applications in healthcare and medical research. We found that the responses regarding the use of AI-based solutions in daily life and healthcare suggested several differences in awareness. Also, some of the participants identified several possible sources of inequity in receiving medical care when intelligence-based applications were used in decision making demarche. Similarly, despite that AI-based resources could offer high performance solutions to medical care and research consequent to technology progress, the participants pointed out that the main negative outcome of artificial would be the lack of empathy involved in patients' management. AI-based solutions in medical care could offer significant improvements of the medical act and in biomedical research. However, there are still many limitations that should be addressed when adapting AI resources in Medicine. [ABSTRACT FROM AUTHOR]