Advancements in robotic capabilities for providing physical assistance, psychological support, and daily health management are making the deployment of intelligent healthcare robots in home environments increasingly feasible in the near future. However, challenges arise when the information provided by these robots contradicts users' memory, raising concerns about user trust and decision-making. This paper presents a study that examines how varying a robot's level of transparency and sociability influences user interpretation, decision-making and perceived trust when faced with conflicting information from a robot. In a 2 x 2 between-subjects online study, 176 participants watched videos of a Furhat robot acting as a family healthcare assistant and suggesting a fictional user to take medication at a different time from that remembered by the user. Results indicate that robot transparency influenced users' interpretation of information discrepancies: with a low transparency robot, the most frequent assumption was that the user had not correctly remembered the time, while with the high transparency robot, participants were more likely to attribute the discrepancy to external factors, such as a partner or another household member modifying the robot's information. Additionally, participants exhibited a tendency toward overtrust, often prioritizing the robot's recommendations over the user's memory, even when suspecting system malfunctions or third-party interference. These findings highlight the impact of transparency mechanisms in robotic systems, the complexity and importance associated with system access control for multi-user robots deployed in home environments, and the potential risks of users' over reliance on robots in sensitive domains such as healthcare.

The potential use of large language models (LLMs) in healthcare robotics can help address the significant demand put on healthcare systems around the world with respect to an aging demographic and a shortage of healthcare professionals. Even though LLMs have already been integrated into medicine to assist both clinicians and patients, the integration of LLMs within healthcare robots has not yet been explored for clinical settings. In this perspective paper, we investigate the groundbreaking developments in robotics and LLMs to uniquely identify the needed system requirements for designing health specific LLM based robots in terms of multi modal communication through human robot interactions (HRIs), semantic reasoning, and task planning. Furthermore, we discuss the ethical issues, open challenges, and potential future research directions for this emerging innovative field.

With recent advancements in AI and computation tools, intelligent paradigms emerged to empower different fields such as healthcare robots with new capabilities. Advanced AI robotic algorithms (e.g., reinforcement learning) can be trained and developed to autonomously make individual decisions to achieve a desired and usually fixed goal. However, such independent decisions and goal achievements might not be ideal for a healthcare robot that usually interacts with a dynamic end-user or a patient. In such a complex human-robot interaction (teaming) framework, the dynamic user continuously wants to be involved in decision-making as well as introducing new goals while interacting with their present environment in real - time. T o address this challenge, an adaptive shared autonomy AI paradigm is required to be developed for the two interactive agents (Human & AI agents) w ith a foundation based on human-centered factors to avoid any possible ethical issues and guarantee no harm to humanity.

As humans, we have given our best into critical thinking to improve our lives, bringing us into the age of information and communication technology. We have also devised means and ways to prolong and save human lives from unforeseen circumstances and cut back on response time to emergencies. This perhaps is why life expectancy has improved for people, especially in developed nations. In recent times, we are using technology to improve our healthcare and general wellbeing. So, this is to let you get a glimpse of some high-techs we [humans] have developed, already in the works, or need to establish that can save more lives and further improve our general wellbeing.

Current advances in robotic healthcare are set to revolutionize the medical field. In recent years, there has been a significant rise in the number of autonomous robotic systems (ARS) in the field of medicine. These state-of-the-art ARS have been applied in the healthcare domain to improve outcomes in surgical operations, care of the elderly, patient rehabilitation, and assistive and companion purposes. In particular, current advances in soft robotics offer tactile human-robot interactions (HRI) which improve the safety of HRI, adaptability to wearable devices, and for use in surgical instruments such as endoscopes. The materials used in these robots and tactile interaction devices possess deformable properties which can interact safely with the body, thereby improving health outcomes and narrowing the gap between engineered systems and natural organisms.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

Of all the technologies that drive digital transformation in the enterprise, people often tout artificial intelligence (AI) as perhaps the most disruptive of all. As automation becomes increasingly sophisticated, there's no question that AI is in the process of disrupting people's day-to-day jobs. As a result, the buzz has largely focused on whether AI will put people out of work vs. whether it will shift work to more productive tasks, as automation takes the grunt work off of everybody's plate. While such discussions are clearly important, they miss the larger transformative story. Digital transformation, after all, takes place at the organizational or even the industry level.

The paper reveals author's personal conclusions derived from the fact that an increasing autonomy of robots is not a science fiction, yet it presents a notorious feature of modern era that requires a comprehensive and systematic legal approach. However, a European Parliaments' recently issued recommendation to consider robots as electronic persons seems inappropriate from human rights perspective and may reflect in serious violations of fundamental rights attached to all human beings. This article focuses on negative aftermaths of automaton and the impact they have on health law and the right to privacy. The fundamental principle of healthcare ethics, a protection of patient's clinical records presents a cornerstone of doctor-patient confidential relationship. The latter is, due to its importance, protected not only by national health legislations, yet also by Article 8 of the European Convention on Human Rights, Right to privacy.

Once considered the subject of our imagination, best left in the realm of science fiction, robots are now a growing technology that is rapidly changing our world. We have become accustomed to seeing them on our TV screens in cartoons such as The Jetsons (1962-1988) or in films such as Big Hero 6 (2014), Elysium (2013) or Robot and Frank (2012). Whether they are helping surgeons with keyhole surgery, manufacturing medicine or assisting the elderly, it is clear that robots have left the realm of science fiction and are a reality that may soon be coming to a home or health facility near us. There are clear benefits to using robots as seen by countries such as Japan where robots now help care for its ageing population. In the UK, which is also facing similar issues, NHS Western Isles and NHS Shetland for example have been trialling the use of a robot called'Giraff' in patients' homes.