Literature DB >> 32486374

Frontiers of Robotic Colonoscopy: A Comprehensive Review of Robotic Colonoscopes and Technologies.

Gastone Ciuti1,2, Karolina Skonieczna-Żydecka3, Wojciech Marlicz4,5, Veronica Iacovacci1,2, Hongbin Liu6, Danail Stoyanov7, Alberto Arezzo8, Marcello Chiurazzi1,2, Ervin Toth9, Henrik Thorlacius10, Paolo Dario1,2, Anastasios Koulaouzidis11.   

Abstract

Flexible colonoscopy remains the prime mean of screening for colorectal cancer (CRC) and the gold standard of all population-based screening pathways around the world. Almost 60% of CRC deaths could be prevented with screening. However, colonoscopy attendance rates are affected by discomfort, fear of pain and embarrassment or loss of control during the procedure. Moreover, the emergence and global thread of new communicable diseases might seriously affect the functioning of contemporary centres performing gastrointestinal endoscopy. Innovative solutions are needed: artificial intelligence (AI) and physical robotics will drastically contribute for the future of the healthcare services. The translation of robotic technologies from traditional surgery to minimally invasive endoscopic interventions is an emerging field, mainly challenged by the tough requirements for miniaturization. Pioneering approaches for robotic colonoscopy have been reported in the nineties, with the appearance of inchworm-like devices. Since then, robotic colonoscopes with assistive functionalities have become commercially available. Research prototypes promise enhanced accessibility and flexibility for future therapeutic interventions, even via autonomous or robotic-assisted agents, such as robotic capsules. Furthermore, the pairing of such endoscopic systems with AI-enabled image analysis and recognition methods promises enhanced diagnostic yield. By assembling a multidisciplinary team of engineers and endoscopists, the paper aims to provide a contemporary and highly-pictorial critical review for robotic colonoscopes, hence providing clinicians and researchers with a glimpse of the major changes and challenges that lie ahead.

Entities:  

Keywords:  artificial intelligence; colorectal cancer screening; computer-aided diagnosis for colonoscopy; robotic colonoscopy; robotics for medical distancing

Year:  2020        PMID: 32486374     DOI: 10.3390/jcm9061648

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  11 in total

1.  Continuum Robots for Medical Interventions.

Authors:  Pierre E Dupont; Nabil Simaan; Howie Choset; Caleb Rucker
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2022-02-08       Impact factor: 14.910

2.  A Soft Sensor for Bleeding Detection in Colonoscopies.

Authors:  Arincheyan Gerald; Max McCandless; Avani Sheth; Hiroyuki Aihara; Sheila Russo
Journal:  Adv Intell Syst       Date:  2022-02-20

3.  Googling on Colonoscopy: A Retrospective Analysis of Search Engine Statistics.

Authors:  Mikolaj Kaminski; Wojciech Marlicz; Anastasios Koulaouzidis
Journal:  Clin Exp Gastroenterol       Date:  2020-10-02

Review 4.  Use of Translational, Genetically Modified Porcine Models to Ultimately Improve Intestinal Disease Treatment.

Authors:  Cecilia R Schaaf; Liara M Gonzalez
Journal:  Front Vet Sci       Date:  2022-05-20

Review 5.  Guidelines for Robotic Flexible Endoscopy at the Time of COVID-19.

Authors:  Onaizah Onaizah; Zaneta Koszowska; Conchubhair Winters; Venkatamaran Subramanian; David Jayne; Alberto Arezzo; Keith L Obstein; Pietro Valdastri
Journal:  Front Robot AI       Date:  2021-02-25

6.  Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network.

Authors:  Seung-Jun Hwang; Sung-Jun Park; Gyu-Min Kim; Joong-Hwan Baek
Journal:  Sensors (Basel)       Date:  2021-04-11       Impact factor: 3.576

7.  Application of robotic technologies in lower gastrointestinal tract endoscopy: A systematic review.

Authors:  Harpreet Kaur Sekhon Inderjit Singh; Emily Rose Armstrong; Sujay Shah; Reza Mirnezami
Journal:  World J Gastrointest Endosc       Date:  2021-12-16

8.  Artificial Intelligence for Colonoscopy: Past, Present, and Future.

Authors:  Wallapak Tavanapong; JungHwan Oh; Michael A Riegler; Mohammed Khaleel; Bhuvan Mittal; Piet C de Groen
Journal:  IEEE J Biomed Health Inform       Date:  2022-08-11       Impact factor: 7.021

9.  Endoluminal Motion Recognition of a Magnetically-Guided Capsule Endoscope Based on Capsule-Tissue Interaction Force.

Authors:  Peisen Zhang; Jing Li; Weimin Zhang; Yang Hao; Gastone Ciuti; Tatsuo Arai; Paolo Dario; Qiang Huang
Journal:  Sensors (Basel)       Date:  2021-03-30       Impact factor: 3.576

Review 10.  Endorobots for Colonoscopy: Design Challenges and Available Technologies.

Authors:  Luigi Manfredi
Journal:  Front Robot AI       Date:  2021-07-14
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