{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:23:10Z","timestamp":1750220590548,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T00:00:00Z","timestamp":1589760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSF","award":["DGE-1650112"],"award-info":[{"award-number":["DGE-1650112"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,5,18]]},"DOI":"10.1145\/3421937.3422019","type":"proceedings-article","created":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T17:22:02Z","timestamp":1612286522000},"page":"146-155","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessing Clinicians' Reliance on Computational Aids for Acute Stroke Diagnosis"],"prefix":"10.1145","author":[{"given":"Vishwajith","family":"Ramesh","sequence":"first","affiliation":[{"name":"Dept. of Bioengineering, University of California, San Diego La Jolla, CA, USA"}]},{"given":"Andrew","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Dept. of Cognitive Science, University of California, San Diego La Jolla, CA, USA"}]},{"given":"Kunal","family":"Agrawal","sequence":"additional","affiliation":[{"name":"Stroke Center, University of California, San Diego La Jolla, CA, USA"}]},{"given":"Brett C.","family":"Meyer","sequence":"additional","affiliation":[{"name":"Stroke Center, University of California, San Diego La Jolla, CA, USA"}]},{"given":"Gert","family":"Cauwenberghs","sequence":"additional","affiliation":[{"name":"Dept. of Bioengineering, University of California, San Diego La Jolla, CA, USA"}]},{"given":"Nadir","family":"Weibel","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science, University of California, San Diego La Jolla, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,2,2]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1016\/j.jstrokecerebrovasdis.2016.08.009"},{"key":"e_1_3_2_1_2_1","volume-title":"Diagnostic accuracy of clinical tools for assessment of acute stroke: a systematic review. BMC emergency medicine, 19(1):49","author":"Antipova D.","year":"2019","unstructured":"D. Antipova , L. Eadie , A. Macaden , and P. Wilson . Diagnostic accuracy of clinical tools for assessment of acute stroke: a systematic review. BMC emergency medicine, 19(1):49 , 2019 . D. Antipova, L. Eadie, A. Macaden, and P. Wilson. Diagnostic accuracy of clinical tools for assessment of acute stroke: a systematic review. BMC emergency medicine, 19(1):49, 2019."},{"unstructured":"ASA. Why getting quick stroke treatment is important 2018.  ASA. Why getting quick stroke treatment is important 2018.","key":"e_1_3_2_1_3_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1197\/jamia.M2373"},{"key":"e_1_3_2_1_5_1","volume-title":"Deep learning in the prediction of ischaemic stroke thrombolysis functional outcomes: A pilot study","author":"Bacchi S.","year":"2019","unstructured":"S. Bacchi , T. Zerner , L. Oakden-Rayner , T. Kleinig , S. Patel , and J. Jannes . Deep learning in the prediction of ischaemic stroke thrombolysis functional outcomes: A pilot study . Academic radiology, 2019 . S. Bacchi, T. Zerner, L. Oakden-Rayner, T. Kleinig, S. Patel, and J. Jannes. Deep learning in the prediction of ischaemic stroke thrombolysis functional outcomes: A pilot study. Academic radiology, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_6_1","DOI":"10.1207\/s15324834basp1101_7"},{"key":"e_1_3_2_1_7_1","first-page":"94","volume-title":"AMIA Annual symposium proceedings","volume":"2007","author":"Campbell E. M.","unstructured":"E. M. Campbell , D. F. Sittig , K. P. Guappone , R. H. Dykstra , and J. S. Ash . Overdependence on technology: an unintended adverse consequence of computerized provider order entry . In AMIA Annual symposium proceedings , volume 2007 , page 94 . American Medical Informatics Association, 2007. E. M. Campbell, D. F. Sittig, K. P. Guappone, R. H. Dykstra, and J. S. Ash. Overdependence on technology: an unintended adverse consequence of computerized provider order entry. In AMIA Annual symposium proceedings, volume 2007, page 94. American Medical Informatics Association, 2007."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1212\/WNL.0b013e3181dad5a6"},{"key":"e_1_3_2_1_9_1","volume-title":"Clinical cognition and diagnostic error: applications of a dual process model of reasoning. 2, 14(1): 27--35","author":"Croskerry P.","year":"2009","unstructured":"P. Croskerry . Clinical cognition and diagnostic error: applications of a dual process model of reasoning. 2, 14(1): 27--35 , 2009 . P. Croskerry. Clinical cognition and diagnostic error: applications of a dual process model of reasoning. 2, 14(1): 27--35, 2009."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1145\/1979742.1979706"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1161\/01.STR.32.8.1800"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1145\/3196709.3196776"},{"issue":"5","key":"e_1_3_2_1_13_1","article-title":"Artificial intelligence in medicine","volume":"86","author":"Kambhampati C.","year":"2004","unstructured":"C. Kambhampati , P. Drew , A. Ramesh , and J. Monson . Artificial intelligence in medicine . Annals of the Royal College of Surgeons of England , 86 ( 5 ), 2004 . C. Kambhampati, P. Drew, A. Ramesh, and J. Monson. Artificial intelligence in medicine. Annals of the Royal College of Surgeons of England, 86(5), 2004.","journal-title":"Annals of the Royal College of Surgeons of England"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1007\/BF00998265"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1007\/978-3-319-41959-6_11"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1159\/000362780"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1111\/j.1747-4949.2009.00294.x"},{"key":"e_1_3_2_1_18_1","volume-title":"Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass. Neurorehabilitation and neural repair, 25(1): 71--80","author":"Murphy M. A.","year":"2011","unstructured":"M. A. Murphy , C. Will\u00e9n , and K. S. Sunnerhagen . Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass. Neurorehabilitation and neural repair, 25(1): 71--80 , 2011 . M. A. Murphy, C. Will\u00e9n, and K. S. Sunnerhagen. Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass. Neurorehabilitation and neural repair, 25(1): 71--80, 2011."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.5853\/jos.2013.15.3.135"},{"unstructured":"N. I. of Health. Nih stroke scale. https:\/\/www.stroke.nih.gov\/documents\/NIH_Stroke_Scale_508C.pdf.  N. I. of Health. Nih stroke scale. https:\/\/www.stroke.nih.gov\/documents\/NIH_Stroke_Scale_508C.pdf.","key":"e_1_3_2_1_20_1"},{"key":"e_1_3_2_1_21_1","volume-title":"Effects of the spirometry learning module on the knowledge, confidence, and experience of spirometry operators. NPJ primary care respiratory medicine, 29(1): 1--8","author":"Parsons R.","year":"2019","unstructured":"R. Parsons , D. Schembri , K. Hancock , A. Lonergan , C. Barton , T. Schermer , A. Crockett , P. Frith , and T. Effing . Effects of the spirometry learning module on the knowledge, confidence, and experience of spirometry operators. NPJ primary care respiratory medicine, 29(1): 1--8 , 2019 . R. Parsons, D. Schembri, K. Hancock, A. Lonergan, C. Barton, T. Schermer, A. Crockett, P. Frith, and T. Effing. Effects of the spirometry learning module on the knowledge, confidence, and experience of spirometry operators. NPJ primary care respiratory medicine, 29(1): 1--8, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1007\/978-3-319-42996-0_16"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_23_1","DOI":"10.1145\/3154862.3154894"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1145\/3240925.3240979"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1145\/3334480.3383039"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of Neuroscience 2016, Annual Meeting of the Society for Neuroscience (Poster presentation)","author":"Ramesh V.","year":"2016","unstructured":"V. Ramesh , S. Rick , B. Meyer , G. Cauwenberghs , and N. Weibel . A Neurobehavioral Evaluation System Using 3D Depth Tracking & Computer Vision: The Case of Stroke-Kinect . In Proceedings of Neuroscience 2016, Annual Meeting of the Society for Neuroscience (Poster presentation) , San Diego, CA, USA , Nov. 2016 . V. Ramesh, S. Rick, B. Meyer, G. Cauwenberghs, and N. Weibel. A Neurobehavioral Evaluation System Using 3D Depth Tracking & Computer Vision: The Case of Stroke-Kinect. In Proceedings of Neuroscience 2016, Annual Meeting of the Society for Neuroscience (Poster presentation), San Diego, CA, USA, Nov. 2016."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1001\/virtualmentor.2011.13.3.oped2-1103"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1197\/j.aem.2004.08.014"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_29_1","DOI":"10.1145\/3351095.3372827"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_30_1","DOI":"10.1371\/journal.pone.0173021"},{"key":"e_1_3_2_1_31_1","volume-title":"Acute stroke differential diagnosis: stroke mimics. European journal of radiology, 96: 133--144","author":"Vilela P.","year":"2017","unstructured":"P. Vilela . Acute stroke differential diagnosis: stroke mimics. European journal of radiology, 96: 133--144 , 2017 . P. Vilela. Acute stroke differential diagnosis: stroke mimics. European journal of radiology, 96: 133--144, 2017."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_32_1","DOI":"10.1145\/3290605.3300831"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_33_1","DOI":"10.1145\/3290605.3300468"},{"key":"e_1_3_2_1_34_1","volume-title":"Acute stroke diagnosis. American family physician, 80(1):33","author":"Yew K. S.","year":"2009","unstructured":"K. S. Yew and E. Cheng . Acute stroke diagnosis. American family physician, 80(1):33 , 2009 . K. S. Yew and E. Cheng. Acute stroke diagnosis. American family physician, 80(1):33, 2009."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1109\/PlatCon.2019.8668961"}],"event":{"sponsor":["EAI The European Alliance for Innovation"],"acronym":"PervasiveHealth '20","name":"PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare","location":"Atlanta GA USA"},"container-title":["Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3421937.3422019","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3421937.3422019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:44Z","timestamp":1750195904000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3421937.3422019"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,18]]},"references-count":35,"alternative-id":["10.1145\/3421937.3422019","10.1145\/3421937"],"URL":"https:\/\/doi.org\/10.1145\/3421937.3422019","relation":{},"subject":[],"published":{"date-parts":[[2020,5,18]]},"assertion":[{"value":"2021-02-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}