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Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative Study

Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative Study

Despite these challenges, the contribution of robotics to health care, including ICUs, remains seemingly promising [20]. Understanding clinician perceptions of robotics within the ICU is paramount, as it directly influences the adoption, use, and effectiveness of these technologies. This study aims to explore the multifaceted views of health care professionals on the deployment of robotics in the ICU, identifying perceived benefits, challenges, and areas for improvement.

Jiafeng Song, Rishika Iytha Sridhar, Darlene Marie Rogers, Cheryl Hiddleson, Carolyn Davis, Tina Lynn Holden, Shanna Ramsey-Haynes, Lisa Reif, Julie Swann, Craig S Jabaley, Mary Gullatte, Rishikesan Kamaleswaran

J Med Internet Res 2025;27:e62957

User Acceptance of a Home Robotic Assistant for Individuals With Physical Disabilities: Explorative Qualitative Study

User Acceptance of a Home Robotic Assistant for Individuals With Physical Disabilities: Explorative Qualitative Study

Examples of PAI include robotics, intelligent sensors, autonomous vehicles, and other cyberphysical systems that merge computational intelligence with physical functionalities [8-10]. AI-powered robotics in health care may offer a range of potential benefits that could revolutionize the field [11]. These systems provide precision and consistency in tasks, often surpassing human capabilities. Precision is particularly vital in surgeries to avoid adverse events and harm to patients.

Linda Sørensen, Dag Tomas Sagen Johannesen, Helinä Melkas, Hege Mari Johnsen

JMIR Rehabil Assist Technol 2025;12:e63641

Advanced Technology in a Real-World Rehabilitation Setting: Longitudinal Observational Study on Clinician Adoption and Implementation

Advanced Technology in a Real-World Rehabilitation Setting: Longitudinal Observational Study on Clinician Adoption and Implementation

Within rehabilitation, this may involve devices such as virtual reality, robotics, smartphone apps and activity trackers [4]. While evidence is emerging, research has shown digital interventions can improve patient outcomes (eg, in mobility and upper limb function) [5-9], improve patient engagement in rehabilitation [10-13], and increase therapy dosage [6,14,15]. As technologies advance and become more affordable [16-18], they are increasingly accessible in rehabilitation [10,19,20].

Louise Michelle Nettleton Pearce, Julie Pryor, Jason Redhead, Catherine Sherrington, Leanne Hassett

J Med Internet Res 2024;26:e60374

Cocreative Development of Robotic Interaction Systems for Health Care: Scoping Review

Cocreative Development of Robotic Interaction Systems for Health Care: Scoping Review

The medical journalist Nicole Janke [2] suggests that the main barriers to the use of robotics in health care are the lack of controllability, the lack of adaptability, and the complexity of control functions for changing users, contexts of use, and suitability for the user. The current inflexibility is one of the reasons for the rather low penetration of already available robotic systems in everyday life and, especially, in care.

Pascal Müller, Patrick Jahn

JMIR Hum Factors 2024;11:e58046

Improving the Social Well-Being of Single Older Adults Using the LOVOT Social Robot: Qualitative Phenomenological Study

Improving the Social Well-Being of Single Older Adults Using the LOVOT Social Robot: Qualitative Phenomenological Study

Similarly, in their exploratory study conducted in the context of long-term care facilities with Pepper (Soft Bank Robotics), a semihumanoid social robot, Blindheim et al [33] suggested that Pepper’s presence increased communal activities involving the social robot in terms of physical activity, human-robot interaction, social stimulation, and communication among residents as well as between residents and employees.

Cheng Kian Tan, Vivian W Q Lou, Clio Yuen Man Cheng, Phoebe Chu He, Veronica Eng Joo Khoo

JMIR Hum Factors 2024;11:e56669

Advances in the Application of AI Robots in Critical Care: Scoping Review

Advances in the Application of AI Robots in Critical Care: Scoping Review

Artificial intelligence (AI) and robotics are 2 distinct yet interconnected concepts ubiquitous in contemporary media and digital platforms. The term artificial intelligence was first introduced as a Medical Subject Heading in the US National Library of Medicine’s Pub Med database in 1986, defined as “Theory and development of computer systems which perform tasks that normally require human intelligence” [1].

Yun Li, Min Wang, Lu Wang, Yuan Cao, Yuyan Liu, Yan Zhao, Rui Yuan, Mengmeng Yang, Siqian Lu, Zhichao Sun, Feihu Zhou, Zhirong Qian, Hongjun Kang

J Med Internet Res 2024;26:e54095

Community-Dwelling Older Adults’ Readiness for Adopting Digital Health Technologies: Cross-Sectional Survey Study

Community-Dwelling Older Adults’ Readiness for Adopting Digital Health Technologies: Cross-Sectional Survey Study

In this study, we aimed to explore the relationships between sociodemographics, health- and lifestyle-related factors, and technology use in their everyday life and community-dwelling older adults’ readiness to adopt digital health technologies, that is, telemedicine, smartphones with texting apps, wearables, and robotics.

Dietmar Ausserhofer, Giuliano Piccoliori, Adolf Engl, Angelika Mahlknecht, Barbara Plagg, Verena Barbieri, Nicoletta Colletti, Stefano Lombardo, Timon Gärtner, Waltraud Tappeiner, Heike Wieser, Christian Josef Wiedermann

JMIR Form Res 2024;8:e54120

Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique Digital Health Training Culture: Prospective Analysis

Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique Digital Health Training Culture: Prospective Analysis

The curriculum is divided into the 4 subareas of digital didactics, namely digital communication, management and digital leadership, and robotics and generative artificial intelligence (AI), each with 14 weekly lessons as well as an introductory event and a final examination and evaluation event.

Juliane Kröplin, Leonie Maier, Jan-Hendrik Lenz, Bernd Romeike

JMIR Med Educ 2024;10:e51389