1
|
Sahu VK, Ranjan A, Paul MK, Nagar S, Devarajan S, Aich J, Basu S. AI Techniques and IoT Applications Transforming the Future of Healthcare. ADVANCES IN HEALTHCARE INFORMATION SYSTEMS AND ADMINISTRATION 2023:210-233. [DOI: 10.4018/978-1-6684-5422-0.ch014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2025]
Abstract
The role of artificial intelligence (AI) has advanced from an analysis and prediction tool to extending human capabilities. Currently, AI is more of a reliable assistant fueled by human experience and need of the hour in the healthcare along with simplifying daily life. AI and Internet of Things (IoT) have opened new avenues in intelligent diagnostics, drug discovery, clinical decision support, enhancing physician-patient communication, transcribing medical documents, and remote treatment. With the advent of enhanced computational power, AI has revolutionized discovery of optimal and efficient healthcare solutions and has accelerated the development of smart solutions involving IoT-based technologies. Starting from telemedicine to predict possible health disorders, AI is gaining focus to facilitate and advance healthcare solutions in developed and underdeveloped countries. This chapter deals with the scope of AI in the present scenario to future developments as AI will soon surpass human and poses threat pertaining to misuse of cognitive sciences development.
Collapse
Affiliation(s)
- Vishal Kumar Sahu
- Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pune, India
| | - Amit Ranjan
- Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pune, India
| | - Manash K. Paul
- Division of Pulmonary and Critical Care Medicine, University of California, Los Angeles, USA
| | - Shuchi Nagar
- Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pune, India
| | - Shine Devarajan
- School of Biotechnology and Bioinformatics, D.Y. Patil University (Deemed), Navi Mumbai, India
| | - Jyotirmoi Aich
- School of Biotechnology and Bioinformatics, D.Y. Patil University (Deemed), Navi Mumbai, India
| | - Soumya Basu
- Dr. D.Y. Patil Biotechnology and Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pune, India
| |
Collapse
|
2
|
Seleem IA, El-Hussieny H, Ishii H. Recent Developments of Actuation Mechanisms for Continuum Robots: A Review. INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION, AND SYSTEMS 2023; 21:1592-1609. [PMID: 37151813 PMCID: PMC10153025 DOI: 10.1007/s12555-022-0159-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/08/2022] [Accepted: 06/14/2022] [Indexed: 05/09/2023]
Abstract
Traditional rigid robots face significant challenges in congested and tight environments, including bulky size, maneuverability, and safety limitations. Thus, soft continuum robots, inspired by the incredible capabilities of biological appendages such as octopus arms, starfish, and worms, have shown promising performance in complex environments due to their compliance, adaptability, and safety. Different actuation techniques are implemented in soft continuum robots to achieve a smoothly bending backbone, including cable-driven actuators, pneumatic actuators, and hydraulic actuation systems. However, designing and developing efficient actuation mechanisms, motion planning approaches, and control algorithms are challenging due to the high degree of redundancy and non-linearity of soft continuum robots. This article profoundly reviews the merits and drawbacks of soft robots' actuation systems concerning their applications to provide the readers with a brief review reference to explore the recent development of soft robots' actuation mechanisms technology. Moreover, the authors have surveyed the recent review studies in controller design of continuum robots as a guidance for future applications.
Collapse
Affiliation(s)
- Ibrahim A. Seleem
- Department of Modern Mechanical Engineering, Faculty of Science and Engineering, Waseda University, Tokyo, Japan
- Present Address: Industrial Electronics and Control Engineering Department, Menoufia University, Shibin Al Kawm, Egypt
| | - Haitham El-Hussieny
- Department of Mechatronics and Robotics Engineering, Egypt-Japan University of Science and Technology, Al Gadida City, Egypt
- Present Address: Electrical Engineering Department, Faculty of Engineering (Shoubra), Benha University, Banha, Egypt
| | - Hiroyuki Ishii
- Department of Modern Mechanical Engineering, Faculty of Science and Engineering, Waseda University, Tokyo, Japan
| |
Collapse
|
3
|
Wang XV, Wang L. A literature survey of the robotic technologies during the COVID-19 pandemic. JOURNAL OF MANUFACTURING SYSTEMS 2021; 60:823-836. [PMID: 33612914 PMCID: PMC7881735 DOI: 10.1016/j.jmsy.2021.02.005] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 05/06/2023]
Abstract
Since the late 2019, the COVID-19 pandemic has been spread all around the world. The pandemic is a critical challenge to the health and safety of the general public, the medical staff and the medical systems worldwide. It has been globally proposed to utilise robots during the pandemic, to improve the treatment of patients and leverage the load of the medical system. However, there is still a lack of detailed and systematic review of the robotic research for the pandemic, from the technologies' perspective. Thus a thorough literature survey is conducted in this research and more than 280 publications have been reviewed, with the focus on robotics during the pandemic. The main contribution of this literature survey is to answer two research questions, i.e. 1) what the main research contributions are to combat the pandemic from the robotic technologies' perspective, and 2) what the promising supporting technologies are needed during and after the pandemic to help and guide future robotics research. The current achievements of robotic technologies are reviewed and discussed in different categories, followed by the identification of the representative work's technology readiness level. The future research trends and essential technologies are then highlighted, including artificial intelligence, 5 G, big data, wireless sensor network, and human-robot collaboration.
Collapse
Affiliation(s)
- Xi Vincent Wang
- Department of Production Engineering, KTH Royal Institute of Technology, Sweden
| | - Lihui Wang
- Department of Production Engineering, KTH Royal Institute of Technology, Sweden
| |
Collapse
|
4
|
Sánchez-Guillén L, Jimenez-Rodriguez RM. Special surgical approaches during peri-COVID-19 pandemic: Robotic and transanal minimally invasive surgery. World J Gastrointest Surg 2021; 13:529-536. [PMID: 34194611 PMCID: PMC8223704 DOI: 10.4240/wjgs.v13.i6.529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/26/2021] [Accepted: 04/09/2021] [Indexed: 02/06/2023] Open
Abstract
During the peri-coronavirus disease 2019 pandemic, the need of special care has raised, not only for our patients but also for health care workers. These needs are different regarding the procedure and the approach performed. This is a dynamic review in the use of robotics and transanal approaches for colorectal diseases. We searched PubMed and KSREvidence.com for studies related to coronavirus disease and robotic surgery/transanal mesorectal excision/transanal surgery (primary and systematic reviews). From 147 results in PubMed, 11 were selected for full text screening, and 11 were included in this paper. From 3 results in KSREvidence, no relevant systematic reviews were identified. We also checked the references in identified papers for further relevant studies. European Society of Coloproctology guidelines were including as part of the recommendations available. Robotic and transanal MIS can be performed safely during the pandemic, but particular characteristics of these procedure need to be taken into consideration.
Collapse
Affiliation(s)
- Luis Sánchez-Guillén
- Department of Cirugía General, Hospital Universitario de Elche, Elche 03201, Spain
| | - Rosa M Jimenez-Rodriguez
- Department of Surgery, Hospital Universitario Virgen del Rocio, Unidad de Coloproctologia, Sevilla 41013, Spain
| |
Collapse
|
5
|
Gao A, Murphy RR, Chen W, Dagnino G, Fischer P, Gutierrez MG, Kundrat D, Nelson BJ, Shamsudhin N, Su H, Xia J, Zemmar A, Zhang D, Wang C, Yang GZ. Progress in robotics for combating infectious diseases. Sci Robot 2021; 6:6/52/eabf1462. [PMID: 34043552 DOI: 10.1126/scirobotics.abf1462] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 03/09/2021] [Indexed: 12/24/2022]
Abstract
The world was unprepared for the COVID-19 pandemic, and recovery is likely to be a long process. Robots have long been heralded to take on dangerous, dull, and dirty jobs, often in environments that are unsuitable for humans. Could robots be used to fight future pandemics? We review the fundamental requirements for robotics for infectious disease management and outline how robotic technologies can be used in different scenarios, including disease prevention and monitoring, clinical care, laboratory automation, logistics, and maintenance of socioeconomic activities. We also address some of the open challenges for developing advanced robots that are application oriented, reliable, safe, and rapidly deployable when needed. Last, we look at the ethical use of robots and call for globally sustained efforts in order for robots to be ready for future outbreaks.
Collapse
Affiliation(s)
- Anzhu Gao
- Institute of Medical Robotics, Shanghai Jiao Tong University, 200240 Shanghai, China.,Department of Automation, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Robin R Murphy
- Humanitarian Robotics and AI Laboratory, Texas A&M University, College Station, TX, USA
| | - Weidong Chen
- Institute of Medical Robotics, Shanghai Jiao Tong University, 200240 Shanghai, China.,Department of Automation, Shanghai Jiao Tong University, 200240 Shanghai, China
| | - Giulio Dagnino
- Hamlyn Centre for Robotic Surgery, Imperial College London, London SW7 2AZ, UK.,University of Twente, Enschede, Netherlands
| | - Peer Fischer
- Institute of Physical Chemistry, University of Stuttgart, Stuttgart, Germany.,Micro, Nano, and Molecular Systems Laboratory, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| | | | - Dennis Kundrat
- Hamlyn Centre for Robotic Surgery, Imperial College London, London SW7 2AZ, UK
| | | | | | - Hao Su
- Biomechatronics and Intelligent Robotics Lab, Department of Mechanical Engineering, City University of New York, City College, New York, NY 10031, USA
| | - Jingen Xia
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 100029 Beijing, China.,National Center for Respiratory Medicine, 100029 Beijing, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, 100029 Beijing, China.,National Clinical Research Center for Respiratory Diseases, 100029 Beijing, China
| | - Ajmal Zemmar
- Department of Neurosurgery, Henan Provincial People's Hospital, Henan University People's Hospital, Henan University School of Medicine, 7 Weiwu Road, 450000 Zhengzhou, China.,Department of Neurosurgery, University of Louisville, School of Medicine, 200 Abraham Flexner Way, Louisville, KY 40202, USA
| | - Dandan Zhang
- Hamlyn Centre for Robotic Surgery, Imperial College London, London SW7 2AZ, UK
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, 100029 Beijing, China.,National Center for Respiratory Medicine, 100029 Beijing, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, 100029 Beijing, China.,National Clinical Research Center for Respiratory Diseases, 100029 Beijing, China.,Chinese Academy of Medical Sciences, Peking Union Medical College, 100730 Beijing, China
| | - Guang-Zhong Yang
- Institute of Medical Robotics, Shanghai Jiao Tong University, 200240 Shanghai, China.
| |
Collapse
|
6
|
Robotic gynaecological surgery using Senhance® robotic platform: Single centre experience with 100 cases. J Gynecol Obstet Hum Reprod 2021; 50:102031. [DOI: 10.1016/j.jogoh.2020.102031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 12/11/2022]
|
7
|
Shen Y, Guo D, Long F, Mateos LA, Ding H, Xiu Z, Hellman RB, King A, Chen S, Zhang C, Tan H. Robots Under COVID-19 Pandemic: A Comprehensive Survey. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2020; 9:1590-1615. [PMID: 34976569 PMCID: PMC8675561 DOI: 10.1109/access.2020.3045792] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 12/08/2020] [Indexed: 05/04/2023]
Abstract
As a result of the difficulties brought by COVID-19 and its associated lockdowns, many individuals and companies have turned to robots in order to overcome the challenges of the pandemic. Compared with traditional human labor, robotic and autonomous systems have advantages such as an intrinsic immunity to the virus and an inability for human-robot-human spread of any disease-causing pathogens, though there are still many technical hurdles for the robotics industry to overcome. This survey comprehensively reviews over 200 reports covering robotic systems which have emerged or have been repurposed during the past several months, to provide insights to both academia and industry. In each chapter, we cover both the advantages and the challenges for each robot, finding that robotics systems are overall apt solutions for dealing with many of the problems brought on by COVID-19, including: diagnosis, screening, disinfection, surgery, telehealth, care, logistics, manufacturing and broader interpersonal problems unique to the lockdowns of the pandemic. By discussing the potential new robot capabilities and fields they applied to, we expect the robotics industry to take a leap forward due to this unexpected pandemic.
Collapse
Affiliation(s)
- Yang Shen
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Dejun Guo
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Fei Long
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Luis A. Mateos
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Houzhu Ding
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Zhen Xiu
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | | | - Adam King
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Shixun Chen
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Chengkun Zhang
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| | - Huan Tan
- UBTECH North America Research and Development CenterPasadenaCA91101USA
| |
Collapse
|
8
|
Bhaskar S, Bradley S, Sakhamuri S, Moguilner S, Chattu VK, Pandya S, Schroeder S, Ray D, Banach M. Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era. Front Public Health 2020; 8:556789. [PMID: 33224912 PMCID: PMC7667043 DOI: 10.3389/fpubh.2020.556789] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 10/07/2020] [Indexed: 12/17/2022] Open
Abstract
Technological innovations such as artificial intelligence and robotics may be of potential use in telemedicine and in building capacity to respond to future pandemics beyond the current COVID-19 era. Our international consortium of interdisciplinary experts in clinical medicine, health policy, and telemedicine have identified gaps in uptake and implementation of telemedicine or telehealth across geographics and medical specialties. This paper discusses various artificial intelligence and robotics-assisted telemedicine or telehealth applications during COVID-19 and presents an alternative artificial intelligence assisted telemedicine framework to accelerate the rapid deployment of telemedicine and improve access to quality and cost-effective healthcare. We postulate that the artificial intelligence assisted telemedicine framework would be indispensable in creating futuristic and resilient health systems that can support communities amidst pandemics.
Collapse
Affiliation(s)
- Sonu Bhaskar
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Neurovascular Imaging Laboratory & NSW Brain Clot Bank, Department of Neurology, Liverpool Hospital and South Western Sydney Local Health District, Ingham Institute for Applied Medical Research, The University of New South Wales, Sydney, NSW, Australia
| | - Sian Bradley
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- The University of New South Wales (UNSW) Medicine Sydney, South West Sydney Clinical School, Sydney, NSW, Australia
| | - Sateesh Sakhamuri
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- The University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Sebastian Moguilner
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Vijay Kumar Chattu
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Shawna Pandya
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Alberta Health Services and Project PoSSUM, University of Alberta, Edmonton, AB, Canada
| | - Starr Schroeder
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Penn Medicine Lancaster General Hospital and Project PoSSUM, Lancaster, PA, United States
| | - Daniel Ray
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Farr Institute of Health Informatics, University College London (UCL) & NHS Foundation Trust, Birmingham, United Kingdom
| | - Maciej Banach
- Pandemic Health System REsilience PROGRAM (REPROGRAM) Consortium, REPROGRAM Telemedicine Study Group, Sydney, NSW, Australia
- Polish Mother's Memorial Hospital Research Institute (PMMHRI) in Lodz, Cardiovascular Research Centre, University of Zielona Gora, Zielona Gora, Poland
- Department of Hypertension, Medical University of Lodz, Łódź, Poland
| |
Collapse
|