{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T06:09:18Z","timestamp":1770876558063,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T00:00:00Z","timestamp":1770422400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","award":["JPMJFR215A"],"award-info":[{"award-number":["JPMJFR215A"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotics"],"abstract":"<jats:p>Robotic ultrasound (US) has emerged as a promising solution to enhance the accuracy, consistency, and accessibility of US examinations. Although many studies have proposed various technologies toward full automation, patient acceptance of the robotic US system has not been discussed. This study explored the patient\u2019s acceptability of robotic US through a questionnaire survey. The 480 participants were asked about their willingness to use a medical facility that offers robotic US examinations. The results showed that the score was 3.61 out of 6, slightly above the average of 3.5. As the reasons for wanting to undergo the robotic US examination, many participants pointed to \u201ctime\u201d and \u201ccost\u201d. The most common reason for not wanting to use it was \u201cvague anxiety\u201d that patients feel somewhat anxious and \u201cobject anxiety\u201d such as a fear of danger due to malfunction. These negative reasons were relatively low among participants who had found diseases via US examinations and among those who already had experience using robots in medical and nursing care fields. This suggests that patients need to increase their knowledge and experience of US examination and robotics to increase their willingness to use automated robotic US.<\/jats:p>","DOI":"10.3390\/robotics15020037","type":"journal-article","created":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T10:45:31Z","timestamp":1770633931000},"page":"37","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Patient Acceptability of Automated Robotic Ultrasound by Patient Profile"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8014-0190","authenticated-orcid":false,"given":"Ryosuke","family":"Tsumura","sequence":"first","affiliation":[{"name":"Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba 305-8564, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kiyoshi","family":"Yoshinaka","sequence":"additional","affiliation":[{"name":"Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba 305-8564, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Gremark Simonsen, J., Axmon, A., Nordander, C., and Arvidsson, I. (2020). Neck and upper extremity pain in sonographers\u2014A longitudinal study. BMC Musculoskelet. Disord., 21.","DOI":"10.1186\/s12891-020-3096-9"},{"key":"ref_2","first-page":"241","article-title":"A pilot study to precisely quantify forces applied by sonographers while scanning: A step toward reducing ergonomic injury","volume":"58","author":"Dhyani","year":"2017","journal-title":"Work"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1539\/joh.17-0057-OA","article-title":"Prevalence of work-related musculoskeletal disorders among sonographers in China: Results from a national web-based survey","volume":"59","author":"Zhang","year":"2017","journal-title":"J. Occup. Health"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1097\/00043764-199306000-00018","article-title":"Prevalence of carpal tunnel syndrome and other work-related musculoskeletal problems in cardiac sonographers","volume":"35","author":"Harms","year":"1993","journal-title":"J. Occup. Med."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s43154-020-00037-y","article-title":"Medical Robotics for Ultrasound Imaging: Current Systems and Future Trends","volume":"2","author":"Wulff","year":"2021","journal-title":"Curr. Robot. Rep."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"74","DOI":"10.5898\/JHRI.3.2.Beer","article-title":"Toward a framework for levels of robot autonomy in human-robot interaction","volume":"3","author":"Beer","year":"2014","journal-title":"J. Hum. Robot. Interact."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Virga, S., Zettinig, O., Esposito, M., Pfister, K., Frisch, B., Neff, T., Navab, N., and Hennersperger, C. (2016). Automatic force-compliant robotic Ultrasound screening of abdominal aortic aneurysms. 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE.","DOI":"10.1109\/IROS.2016.7759101"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1109\/TMI.2016.2620723","article-title":"Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study","volume":"36","author":"Hennersperger","year":"2016","journal-title":"IEEE Trans. Med. Imaging"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ma, X., Zhang, Z., and Zhang, H.K. (2021). Autonomous Scanning Target Localization for Robotic Lung Ultrasound Imaging. 2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE.","DOI":"10.1109\/IROS51168.2021.9635902"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1007\/s11548-023-03019-5","article-title":"Rib region detection for scanning path planning for fully automated robotic abdominal ultrasonography","volume":"19","author":"Okuzaki","year":"2024","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4004","DOI":"10.1038\/s41467-024-48421-y","article-title":"A fully autonomous robotic ultrasound system for thyroid scanning","volume":"15","author":"Su","year":"2024","journal-title":"Nat. Commun."},{"key":"ref_12","first-page":"113151D","article-title":"Feasibility of robot-assisted ultrasound imaging with force feedback for assessment of thyroid diseases","volume":"11315","author":"Kaminski","year":"2020","journal-title":"Proc. SPIE Med. Imaging"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1109\/TII.2018.2871864","article-title":"Robotic Arm Based Automatic Ultrasound Scanning for Three-Dimensional Imaging","volume":"15","author":"Huang","year":"2018","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"e1756","DOI":"10.1002\/rcs.1756","article-title":"Development of a control algorithm for the ultrasound scanning robot (NCCUSR) using ultrasound image and force feedback","volume":"13","author":"Kim","year":"2017","journal-title":"J. Med. Robot. Comput. Assist. Surg."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1700","DOI":"10.1109\/LRA.2024.3349959","article-title":"Safe Contact Force Generation for Robotic Thyroid Ultrasound Imaging","volume":"9","author":"Tsumura","year":"2024","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1109\/TUFFC.2022.3181287","article-title":"Portable Device to Assist with Force Control in Ultrasound Acquisition","volume":"70","author":"Sai","year":"2022","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4002012","DOI":"10.1109\/TIM.2023.3239925","article-title":"A Novel Ultrasound Robot with Force\/torque Measurement and Control for Safe and Efficient Scanning","volume":"72","author":"Bao","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.20965\/jrm.2023.p1281","article-title":"Image Search Strategy via Visual Servoing for Robotic Kidney Ultrasound Imaging","volume":"35","author":"Fujibayashi","year":"2023","journal-title":"J. Robot. Mechatron."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3671","DOI":"10.1109\/LRA.2021.3064283","article-title":"Towards Fully Autonomous Ultrasound Scanning Robot with Imitation Learning Based on Clinical Protocols","volume":"6","author":"Huang","year":"2021","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"7064","DOI":"10.1109\/TIE.2021.3095787","article-title":"Autonomous Robotic Screening of Tubular Structures Based Only on Real-Time Ultrasound Imaging Feedback","volume":"69","author":"Jiang","year":"2022","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"107419","DOI":"10.1016\/j.chb.2022.107419","article-title":"The acceptability of social robots: A scoping review of the recent literature","volume":"137","author":"David","year":"2022","journal-title":"Comput. Hum. Behav."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"e17509","DOI":"10.2196\/17509","article-title":"Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study","volume":"22","author":"Saadatzi","year":"2020","journal-title":"J. Med. Internet Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.cmpb.2013.12.017","article-title":"Acceptability of robotic technology in neuro-rehabilitation: Preliminary results on chronic stroke patients","volume":"116","author":"Mazzoleni","year":"2014","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Luciani, B., Braghin, F., Pedrocchi, A.L.G., and Gandolla, M. (2023). Technology Acceptance Model for Exoskeletons for Rehabilitation of the Upper Limbs from Therapists\u2019 Perspectives. Sensors, 23.","DOI":"10.3390\/s23031721"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1057\/s41599-024-04028-8","article-title":"Patient acceptance of medical service robots in the medical intelligence era: An empirical study based on an extended AI device use acceptance model","volume":"11","author":"Li","year":"2024","journal-title":"Humanit. Soc. Sci. Commun."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2084","DOI":"10.1038\/s41598-025-31892-4","article-title":"Fully automated robotic ultrasound gallbladder imaging with subcostal scanning","volume":"16","author":"Okuzaki","year":"2025","journal-title":"Sci. Rep."},{"key":"ref_27","unstructured":"(2016). Robots and Robotic Devices\u2014Collaborative Robots (Standard No. ISO\/TS 15066:2016)."},{"key":"ref_28","unstructured":"(2019). Medical Devices\u2014Application of Risk Management to Medical Devices (Standard No. ISO 14971:2019)."}],"container-title":["Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2218-6581\/15\/2\/37\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T05:11:15Z","timestamp":1770873075000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2218-6581\/15\/2\/37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,7]]},"references-count":28,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["robotics15020037"],"URL":"https:\/\/doi.org\/10.3390\/robotics15020037","relation":{},"ISSN":["2218-6581"],"issn-type":[{"value":"2218-6581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,7]]}}}