1
|
Weerarathna IN, Raymond D, Luharia A. Human-Robot Collaboration for Healthcare: A Narrative Review. Cureus 2023; 15:e49210. [PMID: 38143700 PMCID: PMC10739095 DOI: 10.7759/cureus.49210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 11/21/2023] [Indexed: 12/26/2023] Open
Abstract
Robotic applications have often quickly transitioned from industrial to social. Because of this, robots can now engage with people in a natural way and blend in with their surroundings. Due to the lack of medical professionals, growing healthcare costs, and the exponential rise in the population of vulnerable groups like the ill, elderly, and children with developmental disabilities, the use of social robots in the healthcare system is expanding. As a result, social robots are employed in the medical field to entertain and educate hospitalized patients about health issues, as well as to assist the elderly and sick. They are also employed in the dispensing of medications, rehabilitation, and emotional and geriatric care. Thus, social robots raise the standard and effectiveness of medical care. This article explains how patients and healthcare professionals collaborate with robots in the healthcare industry. The objectives of this collaboration are to resolve moral and legal concerns, improve patient outcomes, and improve healthcare delivery. It has a broad range of uses, including telemedicine, rehabilitation, and robotic surgical support. Human-robot interaction is the term used to describe interactions between social robots and people. Many obstacles stand in the way of human-robot interaction in healthcare, including safety concerns, acceptability issues, appropriateness, usefulness, and the worry that robots may replace human carers. In the end, these difficulties result in a poor adoption rate for robotic technology. As a result, the applications and difficulties of human-robot interaction in healthcare are thoroughly evaluated in this research. This study also reviews future safety prospects from human-robot interaction in healthcare, as well as ethical and usability issues including privacy, trust, and safety, and our aims to provide a comprehensive overview of the use of robots in healthcare, including their applications, benefits, challenges, and prospects, to facilitate a deeper understanding of this evolving field.
Collapse
Affiliation(s)
- Induni N Weerarathna
- Biomedical Sciences, School of Allied Health Sciences, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - David Raymond
- Computer Science and Medical Engineering, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Anurag Luharia
- Radiotherapy, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| |
Collapse
|
2
|
Cunha MF, Pellino G. Environmental effects of surgical procedures and strategies for sustainable surgery. Nat Rev Gastroenterol Hepatol 2023; 20:399-410. [PMID: 36481812 PMCID: PMC9735025 DOI: 10.1038/s41575-022-00716-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/17/2022] [Indexed: 12/13/2022]
Abstract
There is a bidirectional relationship between climate change and health care. Climate change threatens public health, and health care contributes to climate change. For example, surgery is the most energy-intensive practice in the health-care sector, and gastrointestinal conditions are responsible for a substantial environmental burden. However, environmental costs associated with health care are often overlooked. This issue has been examined more closely in current times. Emerging data are mainly focused on surgery, as the most resource-intensive practice. However, there is still a lack of global awareness and guidance on sustainable surgical practices. This Perspective aims to reassess the evidence on health care and surgery carbon footprints, focusing on gastrointestinal conditions, identify issues that need to be addressed to achieve a more sustainable practice and develop perspectives for future surgical procedures. The proposed framework to mitigate the environmental effects of surgery could be translated to other health-care sectors.
Collapse
Affiliation(s)
- Miguel F Cunha
- Colorectal Surgery group - General Surgery Department, Algarve University Centre, Portimão, Portugal.
- Algarve Biomedical Centre, Portimão, Portugal.
| | - Gianluca Pellino
- Department of Advanced Medical and Surgical Sciences, Universitá degli Studi della Campania 'Luigi Vanvitelli', Naples, Italy.
- Colorectal Surgery, Vall d'Hebron University Hospital, Barcelona, Spain.
| |
Collapse
|
3
|
Mualem W, Onyedimma C, Ghaith AK, Durrani S, Jarrah R, Singh R, Zamanian C, Nathani KR, Freedman BA, Bydon M. R2 advances in robotic-assisted spine surgery: comparative analysis of options, future directions, and bibliometric analysis of the literature. Neurosurg Rev 2022; 46:18. [PMID: 36515789 DOI: 10.1007/s10143-022-01916-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Spine surgery has undergone rapid advancements over the past several decades with the emergence of robotic and minimally invasive surgery (MIS). While conventional MIS spine surgery has had relative success, its complication profile has warranted continued efforts to improve clinical outcomes. We discuss the functional, clinical, and financial aspects of four robotic options for spinal pathologies, namely ROSA, Mazor X, Da Vinci, and ExcelsiusGPS, and conduct a bibliometric analysis to better understand current trends and applications of these robots as the field of robotic spine surgery continues to grow. An extensive search of English-language published literature on robotic-assisted spinal surgery was performed in Elsevier's Scopus database. A bibliometric analysis was then performed on the top 100 most cited papers. The search yielded articles regarding robotic-assisted spine surgery application, limitations, and functional outcomes secondary to spine pathology. Accuracy analyses of 1733 screw placements were reviewed. The top 100 papers were published between 1992 and 2020, with a significant increase from 2015 onwards. The top publishing institution was John Hopkins University (n = 8). The top contributing author was Dr. Isador H. Lieberman (n = 6). The USA (n = 34) had the most articles on robotic spinal surgery, followed by Germany (n = 12). This review examines robotic applications in spine surgery, including four available options: ROSA, Mazor X, Da Vinci, and ExcelsiusGPS. Publication output over time, surgical outcomes, screw accuracy, and cost-effectiveness of these technologies have been investigated here. Certain robots have functional, clinical, and financial differences worth noting. Given the dearth of existing literature reporting postoperative complications and long-term comparative outcomes, there is a clear need for further studies on this matter.
Collapse
Affiliation(s)
- William Mualem
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA
| | - Chiduziem Onyedimma
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA
| | - Abdul Karim Ghaith
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA
| | - Sulaman Durrani
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA
| | - Ryan Jarrah
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA
| | - Rohin Singh
- Alix School of Medicine, Mayo Clinic, Scottsdale, AZ, USA
- Department of Neurologic Surgery, Mayo Clinic, Scottsdale, AZ, USA
| | - Cameron Zamanian
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA
| | - Karim Rizwan Nathani
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA
| | - Brett A Freedman
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Mohamad Bydon
- Mayo Clinic Neuro-Informatics Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
- Department of Neurologic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55905, USA.
| |
Collapse
|