Literature DB >> 21800171

Predicting the long-term effects of human-robot interaction: a reflection on responsibility in medical robotics.

Edoardo Datteri1.   

Abstract

This article addresses prospective and retrospective responsibility issues connected with medical robotics. It will be suggested that extant conceptual and legal frameworks are sufficient to address and properly settle most retrospective responsibility problems arising in connection with injuries caused by robot behaviours (which will be exemplified here by reference to harms occurred in surgical interventions supported by the Da Vinci robot, reported in the scientific literature and in the press). In addition, it will be pointed out that many prospective responsibility issues connected with medical robotics are nothing but well-known robotics engineering problems in disguise, which are routinely addressed by roboticists as part of their research and development activities: for this reason they do not raise particularly novel ethical issues. In contrast with this, it will be pointed out that novel and challenging prospective responsibility issues may emerge in connection with harmful events caused by normal robot behaviours. This point will be illustrated here in connection with the rehabilitation robot Lokomat.

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Mesh:

Year:  2011        PMID: 21800171     DOI: 10.1007/s11948-011-9301-3

Source DB:  PubMed          Journal:  Sci Eng Ethics        ISSN: 1353-3452            Impact factor:   3.525


  19 in total

1.  The history and basic principles of magnetic nerve stimulation.

Authors:  A T Barker
Journal:  Electroencephalogr Clin Neurophysiol Suppl       Date:  1999

Review 2.  Device failures associated with patient injuries during robot-assisted laparoscopic surgeries: a comprehensive review of FDA MAUDE database.

Authors:  Sero Andonian; Zeph Okeke; Deidre A Okeke; Ardeshir Rastinehad; Brian A Vanderbrink; Lee Richstone; Benjamin R Lee
Journal:  Can J Urol       Date:  2008-02       Impact factor: 1.344

3.  An accelerometry-based comparison of 2 robotic assistive devices for treadmill training of gait.

Authors:  Jean-Philippe Regnaux; Kaveh Saremi; Jon Marehbian; Bernard Bussel; Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2007-12-11       Impact factor: 3.919

4.  Enhanced gait-related improvements after therapist- versus robotic-assisted locomotor training in subjects with chronic stroke: a randomized controlled study.

Authors:  T George Hornby; Donielle D Campbell; Jennifer H Kahn; Tobey Demott; Jennifer L Moore; Heidi R Roth
Journal:  Stroke       Date:  2008-05-08       Impact factor: 7.914

5.  Failure of a robotic arm during da Vinci prostatectomy: a case report.

Authors:  Nikolaos Koliakos; Geert Denaeyer; Pieter Willemsen; Peter Schatteman; Alexander Mottrie
Journal:  J Robot Surg       Date:  2008-04-24

Review 6.  Effectiveness of robot-assisted gait training in persons with spinal cord injury: a systematic review.

Authors:  Eva Swinnen; Saartje Duerinck; Jean-Pierre Baeyens; Romain Meeusen; Eric Kerckhofs
Journal:  J Rehabil Med       Date:  2010-06       Impact factor: 2.912

7.  Multicenter randomized clinical trial evaluating the effectiveness of the Lokomat in subacute stroke.

Authors:  Joseph Hidler; Diane Nichols; Marlena Pelliccio; Kathy Brady; Donielle D Campbell; Jennifer H Kahn; T George Hornby
Journal:  Neurorehabil Neural Repair       Date:  2009-01       Impact factor: 3.919

8.  Mechanical failure rate of da Vinci robotic system.

Authors:  Lester S Borden; Paul M Kozlowski; Christopher R Porter; John M Corman
Journal:  Can J Urol       Date:  2007-04       Impact factor: 1.344

Review 9.  Exercise and training to optimize functional motor performance in stroke: driving neural reorganization?

Authors:  R B Shepherd
Journal:  Neural Plast       Date:  2001       Impact factor: 3.599

Review 10.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

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  3 in total

1.  Ethics and Automated Systems in the Health Domain: Design and Submission of a Survey on Rehabilitation and Assistance Robotics to Collect Insiders' Opinions and Perception.

Authors:  Giovanni Morone; Antonia Pirrera; Paola Meli; Daniele Giansanti
Journal:  Healthcare (Basel)       Date:  2022-04-22

2.  Domestic Use of the Exoskeleton for Gait Training in Patients with Spinal Cord Injuries: Ethical Dilemmas in Clinical Practice.

Authors:  Luciano Bissolotti; Federico Nicoli; Mario Picozzi
Journal:  Front Neurosci       Date:  2018-02-15       Impact factor: 4.677

Review 3.  The Three Laws of Neurorobotics: A Review on What Neurorehabilitation Robots Should Do for Patients and Clinicians.

Authors:  Marco Iosa; Giovanni Morone; Andrea Cherubini; Stefano Paolucci
Journal:  J Med Biol Eng       Date:  2016-02-09       Impact factor: 1.553

  3 in total

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