How artificial intelligence (AI) is used in aphasia rehabilitation: A scoping review

References

• Abad, A., Pompili, A., Costa, A., Trancoso, I., Fonseca, J., Leal, G., … & Martins, I. P. (2013). Automatic word naming recognition for an on-line aphasia treatment system. Computer Speech & Language, 27(6),1235–1248. 10.1016/j.csl.2012.10.003
   Web of Science ®Google Scholar
• Akbarzadeh-T, M. R., & Moshtagh-Khorasani, M. (2007). A hierarchical fuzzy rule-based approach to aphasia diagnosis. Journal of Biomedical Informatics, 40(5),465–475. 10.1016/j.jbi.2006.12.005
   PubMed Web of Science ®Google Scholar
• Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1),19–32. 10.1080/1364557032000119616
   Google Scholar
• Axer, H., Jantzen, J., & von Keyserlingk, D. G. (2000). An aphasia database on the internet: a model for computer-assisted analysis in aphasiology. Brain and Language, 75(3),390–398. 10.1006/brln.2000.2362
   PubMed Web of Science ®Google Scholar
• Axer, H., Jantzen, J., Berks, G., & Keyserlingk, D. G. V. (2000). Aphasia classification using neural networks. European Symposium on Intelligent Techniques Aachen, 111, 5.
   Google Scholar
• Axer, H., Jantzen, J., Berks, G., Südfeld, D., & Keyserlingk, D. G. V. (2000). The aphasia database on the web: description of a model for problems of classification in medicine. In Proc. ESIT, 21, 104–110.
   Google Scholar
• Azios, J. H., Strong, K. A., Archer, B., Douglas, N. F., Simmons-Mackie, N., & Worrall, L. (2021). Friendship matters: a research agenda for aphasia. Aphasiology, 36(3),1–20. 10.1080/02687038.2021.1873908
   Web of Science ®Google Scholar
• Baker, C., Worrall, L., Rose, M., & Ryan, B. (2020). ‘It was really dark’: the experiences and preferences of people with aphasia to manage mood changes and depression. Aphasiology, 34(1),19–46. 10.1080/02687038.2019.1673304
   Google Scholar
• Ballard, K. J., Etter, N. M., Shen, S., Monroe, P., & Tien Tan, C. (2019). Feasibility of automatic speech recognition for providing feedback during tablet-based treatment for apraxia of speech plus aphasia. American Journal of Speech-Language Pathology, 28(2S), 818–834. 10.1044/2018_AJSLP-MSC18-18-0109
   Web of Science ®Google Scholar
• Barbera, D. S., Huckvale, M., Fleming, V., Upton, E., Coley-Fisher, H., Doogan, C., … & Crinion, J. (2021). NUVA: A Naming Utterance Verifier for Aphasia Treatment. Computer Speech & Language, 69, 101221. 10.1016/j.csl.2021.101221
   Web of Science ®Google Scholar
• Baxter, S., Enderby, P., Evans, P., & Judge, S. (2012). Barriers and facilitators to the use of high‐technology augmentative and alternative communication devices: a systematic review and qualitative synthesis. International Journal of Language & Communication Disorders, 47(2),115–129. 10.1111/j.1460-6984.2011.00090.x
   PubMed Web of Science ®Google Scholar
• Behrns, I., Hartelius, L., & Wengelin, Å. (2009). Aphasia and computerised writing aid supported treatment. Aphasiology, 23(10),1276–1294. 10.1080/02687030802436892
   Web of Science ®Google Scholar
• Bullier, B., Cassoudesalle, H., Villain, M., Cogné, M., Mollo, C., De Gabory, I., … & Glize, B. (2020). New factors that affect quality of life in patients with aphasia. Annals of Physical and Rehabilitation Medicine, 63(1),33–37. 10.1016/j.rehab.2019.06.015
   PubMed Web of Science ®Google Scholar
• Carragher, M., Steel, G., O’Halloran, R., Torabi, T., Johnson, H., Taylor, N. F., & Rose, M. (2021). Aphasia disrupts usual care: the stroke team’s perceptions of delivering healthcare to patients with aphasia. Disability and Rehabilitation, 43(21),3003–3014. 10.1080/09638288.2020.1722264
   PubMed Web of Science ®Google Scholar
• Castellano, G., Fanelli, A. M., & Mencar, C. (2003). Discovering human understandable fuzzy diagnostic rules from medical data. Proceedings of European symposium on intelligence technologies, hybrid systems and their implementation on smart adaptive systems, 227-233.
   Google Scholar
• Farzana, W., Sarker, F., Chau, T., & Mamun, K. A. (2021). Technological evolvement in AAC modalities to Foster communications of verbally challenged ASD children: A systematic review. IEEE Access. DOI: 10.1109/ACCESS.2021.3055195
   Google Scholar
• Fergadiotis, G., Gorman, K., & Bedrick, S. (2016). Algorithmic classification of five characteristic types of paraphasias. American Journal of Speech-Language Pathology, 25(4S), S776–S787. 10.1044/2016_AJSLP-15-0147
   Web of Science ®Google Scholar
• Fraser, K. C., Meltzer, J. A., Graham, N. L., Leonard, C., Hirst, G., Black, S. E., & Rochon, E. (2014). Automated classification of primary progressive aphasia subtypes from narrative speech transcripts. Cortex, 55, 43–60. 10.1016/j.cortex.2012.12.006
   PubMed Web of Science ®Google Scholar
• Fu, Y. F., & Ho, C. S. (2010). Building intelligent communication systems for handicapped aphasiacs. Sensors, 10(1),374–387. 10.3390/s100100374
   PubMed Web of Science ®Google Scholar
• Garrard, P., Rentoumi, V., Gesierich, B., Miller, B., & Gorno-Tempini, M. L. (2014). Machine learning approaches to diagnosis and laterality effects in semantic dementia discourse. Cortex, 55, 122–129. 10.1016/j.cortex.2013.05.008
   PubMed Web of Science ®Google Scholar
• Graham, J. R., Pereira, S., & Teasell, R. (2011). Aphasia and return to work in younger stroke survivors. Aphasiology, 25(8),952–960. 10.1080/02687038.2011.563861
   Web of Science ®Google Scholar
• Grossman, M. (2010). Primary progressive aphasia: clinicopathological correlations. Nature Reviews Neurology, 6(2),88–97. DOI: 10.1038/nrneurol.2009.216
   PubMed Web of Science ®Google Scholar
• Hoover, E. L., & Carney, A. (2014). Integrating the iPad into an intensive, comprehensive aphasia program. Seminars in Speech and Language, 35(1),25–37. DOI: 10.1055/s-0033-1362990
   Google Scholar
• Howe, T., Davidson, B., Worrall, L., Hersh, D., Ferguson, A., Sherratt, S., & Gilbert, J. (2012). ‘You needed to rehab … families as well’: family members’ own goals for aphasia rehabilitation. International Journal of Language & Communication Disorders, 47(5),511–521. DOI: 10.1111/j.1460-6984.2012.00159.x
   PubMed Web of Science ®Google Scholar
• Järvelin, A., & Juhola, M. (2011). Comparison of machine learning methods for classifying aphasic and non-aphasic speakers. Computer Methods and Programs in Biomedicine, 104(3),349–357. 10.1016/j.cmpb.2011.02.015
   PubMed Web of Science ®Google Scholar
• Järvelin, A., Juhola, M., & Laine, M. (2004). A Neural Network Model of Lexicalization for Simulating the Anomie Naming Errors of Dementia Patients. MedInfo 2004, pp. 48–51. DOI: 10.3233/978-1-60750-949-3-48
   Google Scholar
• Järvelin, A., Juhola, M., & Laine, M. (2006). A neural network model for the simulation of word production errors of Finnish nouns. International Journal of Neural Systems, 16(04),241–254. 10.1142/S0129065706000652
   PubMedGoogle Scholar
• Johnston, S. S., Reichle, J., & Evans, J. (2004). Supporting augmentative and alternative communication use by beginning communicators with severe disabilities. American Journal of Speech-Language Pathology, 13(1),20–30. 10.1044/1058-0360(2004/004)
   PubMed Web of Science ®Google Scholar
• Kiliç, K., Uncu, Ö., & Türksen, I. B. (2007). Comparison of different strategies of utilizing fuzzy clustering in structure identification. Information Sciences, 177(23),5153–5162. 10.1016/j.ins.2007.06.030
   Web of Science ®Google Scholar
• Koch Fager, S., Fried-Oken, M., Jakobs, T., & Beukelman, D. R. (2019). New and emerging access technologies for adults with complex communication needs and severe motor impairments: State of the science. Augmentative and Alternative Communication, 35(1),13–25. 10.1080/07434618.2018.1556730
   PubMed Web of Science ®Google Scholar
• Kong, A. P. H., & Law, S. P. (2019). Cantonese AphasiaBank: An annotated database of spoken discourse and co-verbal gestures by healthy and language-impaired native Cantonese speakers. Behavior Research Methods, 51(3),1131–1144. DOI: 10.3758/s13428-018-1043-6
   PubMed Web of Science ®Google Scholar
• Konstantinopoulou, G., Kovas, K., Hatzilygeroudis, I., & Prentzas, J. (2019, July). An Approach using Certainty Factor Rules for Aphasia Diagnosis. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-7). IEEE. DOI: 10.1109/IISA.2019.8900782
   Google Scholar
• Laine, M., Vuorinen, E., & Rinne, J. O. (1997). Picture naming deficits in vascular dementia and Alzheimer’s disease. Journal of Clinical and Experimental Neuropsychology, 19(1),126–140. 10.1080/01688639708403842
   PubMed Web of Science ®Google Scholar
• Laine, M., Tikkala, A., & Juhola, M. (1998). Modelling anomia by the discrete two-stage word production architecture. Journal of Neurolinguistics, 11(3),275–294.
   Web of Science ®Google Scholar
• Lam, J. M., & Wodchis, W. P. (2010). The relationship of 60 disease diagnoses and 15 conditions to preference-based health-related quality of life in Ontario hospital-based long-term care residents. Medical Care, 380–387. 10.1016/S0911-6044(97)000158000158
   PubMed Web of Science ®Google Scholar
• Le, D., Licata, K., Mercado, E., Persad, C., & Provost, E. M. (2014, May). Automatic analysis of speech quality for aphasia treatment. In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4853-4857). IEEE. DOI: 10.1109/ICASSP.2014.6854524
   Google Scholar
• Le, D., Licata, K., & Provost, E. M. (2017). Automatic Paraphasia Detection from Aphasic Speech: A Preliminary Study. In Proceeding Interspeech 2017, 294–298. DOI: 10.21437/Interspeech.2017-626
   Google Scholar
• Le, D., Licata, K., & Provost, E. M. (2018). Automatic quantitative analysis of spontaneous aphasic speech. Speech Communication, 100, 1–12. 10.1016/j.specom.2018.04.001
   Web of Science ®Google Scholar
• Le Dorze, G., & Brassard, C. (1995). A description of the consequences of aphasia on aphasic persons and their relatives and friends, based on the WHO model of chronic diseases. Aphasiology, 9(3),239–255. 10.1080/02687039508248198
   Web of Science ®Google Scholar
• Le Dorze, G., Salois-Bellerose, É., Alepins, M., Croteau, C., & Hallé, M. C. (2014). A description of the personal and environmental determinants of participation several years post-stroke according to the views of people who have aphasia. Aphasiology, 28(4),421–439. 10.1080/02687038.2013.869305
   Web of Science ®Google Scholar
• Le Dorze, G., & Signori, F. H. (2010). Needs, barriers and facilitators experienced by spouses of people with aphasia. Disability and Rehabilitation, 32(13),1073–1087. 10.3109/09638280903374121
   PubMed Web of Science ®Google Scholar
• Levac, D., Colquhoun, H., & O’Brien, K. (2010). Scoping studies: Advancing the methodology. Implementation Science, 5(1),5–69. DOI: 10.1186/1748-5908-5-69
   PubMedGoogle Scholar
• MacWhinney, B., Fromm, D., Forbes, M. & Holland, A. (2011). AphasiaBank: Methods for studying discourse. Aphasiology, 25(11),1286–1307. 10.1080/02687038.2011.589893
   PubMed Web of Science ®Google Scholar
• Michallet, B., Tétreault, S., & Le Dorze, G. (2003). The consequences of severe aphasia on the spouses of aphasic people: A description of the adaptation process. Aphasiology, 17(9),835–859. 10.1080/02687030344000238
   Web of Science ®Google Scholar
• Mirman, D., Strauss, T. J., Brecher, A., Walker, G. M., Sobel, P., Dell, G. S., & Schwartz, M. F. (2010). A large, searchable, web-based database of aphasic performance on picture naming and other tests of cognitive function. Cognitive Neuropsychology, 27(6),495–504. 10.1080/02643294.2011.574112
   PubMed Web of Science ®Google Scholar
• Moshtagh-Khorasani, M., Akbarzadeh-T, M. R., Jahangiri, N., & Khoobdel, M. (2009). An intelligent system based on fuzzy probabilities for medical diagnosis–a study in aphasia diagnosis. Journal of research in medical sciences: the official journal of Isfahan University of Medical Sciences, 14(2),89–103.
   Google Scholar
• Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—a web and mobile app for systematic reviews. Systematic Reviews, 5(1),1–10. 10.1186/s13643-016-0384-4
   PubMedGoogle Scholar
• Parr, S. (2007). Living with severe aphasia: Tracking social exclusion. Aphasiology, 21(1),98–123. 10.1080/02687030600798337
   Web of Science ®Google Scholar
• Peintner, B., Jarrold, W., Vergyri, D., Richey, C., Tempini, M. L. G., & Ogar, J. (2008). Learning diagnostic models using speech and language measures. In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4648–4651. DOI: 10.1109/IEMBS.2008.4650249
   Google Scholar
• Pham, M. T., Rajić, A., Greig, J. D., Sargeant, J. M., Papadopoulos, A., & McEwen, S. A. (2014). A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Research synthesis methods, 5(4),371–385. 10.1002/jrsm.1123
   PubMed Web of Science ®Google Scholar
• Qin, Y., Lee, T., & Kong, A. P. H. (2019). Automatic Assessment of Speech Impairment in Cantonese-Speaking People with Aphasia. IEEE Journal of Selected Topics in Signal Processing, 14(2),331–345. DOI: 10.1109/JSTSP.2019.2956371
   PubMed Web of Science ®Google Scholar
• Qin, Y., Wu, Y., Lee, T., & Kong, A. P. H. (2020). An end-to-end approach to automatic speech assessment for Cantonese-speaking people with aphasia. Journal of Signal Processing Systems, 92(8),819–830. DOI: 10.1109/ISCSLP.2018.8706690
   Web of Science ®Google Scholar
• Russo, M. J., Prodan, V., Meda, N. N., Carcavallo, L., Muracioli, A., Sabe, L., … & Olmos, L. (2017). High-technology augmentative communication for adults with post-stroke aphasia: A systematic review. Expert Review of Medical Devices, 14(5),355–370. DOI: 10.1080/17434440.2017.1324291
   PubMed Web of Science ®Google Scholar
• Sabahi, F. (2016). A novel generalized belief structure comprising unprecisiated uncertainty applied to aphasia diagnosis. Journal of Biomedical Informatics, 62, 66–77. 10.1016/j.jbi.2016.06.004
   PubMed Web of Science ®Google Scholar
• Sennott, S. C., Akagi, L., Lee, M., & Rhodes, A. (2019). AAC and artificial intelligence (AI). Topics in Language Disorders, 39(4), 389. DOI: 10.1097/tld.0000000000000197
   PubMed Web of Science ®Google Scholar
• Shen, J., Zhang, C. J., Jiang, B., Chen, J., Song, J., Liu, Z., … & Ming, W. K. (2019). Artificial intelligence versus clinicians in disease diagnosis: systematic review. JMIR Medical Informatics, 7(3), e10010. DOI: 10.2196/10010
   PubMed Web of Science ®Google Scholar
• Simmons‐Mackie, N. N., & Damico, J. S. (2007). Access and social inclusion in aphasia: Interactional principles and applications. Aphasiology, 21(1),81–97. 10.1080/02687030600798311
   Web of Science ®Google Scholar
• Stark, B. C., & Warburton, E. A. (2018). Improved language in chronic aphasia after self-delivered iPad speech therapy. Neuropsychological Rehabilitation, 28(5),818–831. 10.1080/09602011.2016.1146150
   PubMed Web of Science ®Google Scholar
• Tatari, F., Akbarzadeh T, M. R., & Mazouchi, M. (2014). A self-organized multi agent decision making system based on fuzzy probabilities: the case of aphasia diagnosis. Iranian Journal of Fuzzy Systems, 11 (6),21–46.
   Google Scholar
• Tsakonas, A., Dounias, G., Von Keyserlingk, D. G., & Axer, H. (2001, December). Hybrid computational intelligence for handling diagnosis of aphasia. In European symposium on intelligent technologies, hybrid systems and their implementation on smart adaptive systems. Eunite. Citeseer (pp. 13-14).
   Google Scholar
• Tsakonas, A., Dounias, G., Jantzen, J., Axer, H., Bjerregaard, B., & von Keyserlingk, D. G. (2004). Evolving rule-based systems in two medical domains using genetic programming. Artificial Intelligence in Medicine, 32(3),195–216. 10.1016/j.artmed.2004.02.007
   PubMed Web of Science ®Google Scholar
• van Hees, S., Angwin, A., McMahon, K., & Copland, D. (2013). A comparison of semantic feature analysis and phonological components analysis for the treatment of naming impairments in aphasia. Neuropsychological Rehabilitation, 23(1),102–132. 10.1080/09602011.2012.726201
   PubMed Web of Science ®Google Scholar
• Wade, B., Petheram, R., & Cain, J. (2001). Voice recognition and aphasia: Can computers understand aphasic speech? Disability and Rehabilitation, 23(14),604–613. 10.1080/09638280110044932
   Google Scholar