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

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

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
31 May 2020
Historique:
received: 28 04 2020
revised: 16 05 2020
accepted: 19 05 2020
entrez: 4 6 2020
pubmed: 4 6 2020
medline: 4 6 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 32486374
pii: jcm9061648
doi: 10.3390/jcm9061648
pmc: PMC7356873
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Gastone Ciuti (G)

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy.
Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.

Karolina Skonieczna-Żydecka (K)

Department of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, 71-460 Szczecin, Poland.

Wojciech Marlicz (W)

Department of Gastroenterology, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland.
Endoklinika sp. z o.o., 70-535 Szczecin, Poland.

Veronica Iacovacci (V)

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy.
Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.

Hongbin Liu (H)

School of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London SE1 7EH, UK.

Danail Stoyanov (D)

Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London W1W 7TY, UK.

Alberto Arezzo (A)

Department of Surgical Sciences, University of Torino, 10126 Torino, Italy.

Marcello Chiurazzi (M)

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy.
Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.

Ervin Toth (E)

Department of Gastroenterology, Skåne University Hospital, Lund University, 20502 Malmö, Sweden.

Henrik Thorlacius (H)

Department of Clinical Sciences, Section of Surgery, Lund University, 20502 Malmö, Sweden.

Paolo Dario (P)

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pisa, Italy.
Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.

Anastasios Koulaouzidis (A)

Endoscopy Unit, The Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK.

Classifications MeSH