Paranoid About Androids: A Review of Robotics in Radiology.

artificial intelligence interventional radiology radiology robotic assistance robotic autonomy robotics

Journal

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
ISSN: 1488-2361
Titre abrégé: Can Assoc Radiol J
Pays: United States
ID NLM: 8812910

Informations de publication

Date de publication:
12 Oct 2024
Historique:
medline: 12 10 2024
pubmed: 12 10 2024
entrez: 12 10 2024
Statut: aheadofprint

Résumé

In tandem with the ever-increasing global population, the demand for diagnostic radiology service provision is on the rise and at a disproportionate rate compared to the number of radiologists available to practice. The current "revolution in robotics" promises to alleviate personnel shortages in many sectors of industry, including medicine. Despite negative depictions of robots in popular culture, their multiple potential benefits cannot be overlooked, in particular when it comes to health service provision. The type of robots used for interventional procedures are largely robotic-assistance devices, such as the Da Vinci surgical robot. Advances have also been made with regards to robots for image-guided percutaneous needle placement, which have demonstrated superior accuracy compared to manual methods. It is likely that artificial intelligence will come to play a key role in the field of robotics and will result in an increase in the levels of robotic autonomy attainable. However, this concept is not without ethical and legal considerations, most notably who is responsible should an error occur; the physician, the robot manufacturer, software engineers, or the robot itself? Efforts have been made to legislate in order to protect against the potentially harmful effects of unexplainable "black-box" decision outputs of artificial intelligence systems. In order to be accepted by patients, studies have shown that the perceived level of trustworthiness and predictability of robots is crucial. Ultimately, effective, widespread implementation of medical robotic systems will be contingent on developers remaining cognizant of factors that increase human acceptance, as well as ensuring compliance with regulations.

Identifiants

pubmed: 39394918
doi: 10.1177/08465371241290076
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

8465371241290076

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: H.H. is the Editor-in-Training of Canadian Association of Radiologists Journal. M.N.P. is the Editor-in-Chief of Canadian Association of Radiologists Journal.

Auteurs

Hannah Hughes (H)

Department of Radiology, St. Vincent's University Hospital, Dublin, Ireland.

Francois H Cornelis (FH)

Department of Radiology, MSKCC, New York, NY, USA.

Mariano Scaglione (M)

Department of Surgical, Medical and Experimental Sciences, University of Sassari, Sassari, Italy.

Michael N Patlas (MN)

Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.

Classifications MeSH