{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T20:08:38Z","timestamp":1768421318064,"version":"3.49.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-024-03002-0","type":"journal-article","created":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T15:06:23Z","timestamp":1718723183000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["PALLA: Palpation Suit for Breast Cancer Examination"],"prefix":"10.1007","volume":"5","author":[{"given":"Wasana","family":"Siwilai","sequence":"first","affiliation":[]},{"given":"Chaiyanont","family":"Malaithong","sequence":"additional","affiliation":[]},{"given":"Thanabat","family":"Raksanawes","sequence":"additional","affiliation":[]},{"given":"Araya","family":"Sookhom","sequence":"additional","affiliation":[]},{"given":"Kanisorn","family":"Rasrichai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5393-526X","authenticated-orcid":false,"given":"Chutisant","family":"Kerdvibulvech","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,18]]},"reference":[{"issue":"1","key":"3002_CR1","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1186\/s12911-022-02065-4","volume":"22","author":"SZ Altunkurek","year":"2022","unstructured":"Altunkurek SZ, Mohamed SH. Determine knowledge and belief of Somalian young women about breast cancer and breast self-examination with champion health belief model: a cross-sectional study. BMC Med Inform Decis Making. 2022;22(1):326.","journal-title":"BMC Med Inform Decis Making"},{"key":"3002_CR2","unstructured":"Balijepally V, Mullick U. Efficacy of MobileNet models in detecting breast cancer in patient histopathology images\u2014an empirical examination. AMCIS. 2022."},{"key":"3002_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102215","volume":"123","author":"MJ Cardoso","year":"2022","unstructured":"Cardoso MJ, Houssami N, Pozzi G, S\u00e9roussi B. Artificial intelligence (AI) in breast cancer care\u2014leveraging multidisciplinary skills to improve care. Artif Intell Med. 2022;123: 102215.","journal-title":"Artif Intell Med"},{"key":"3002_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108919","volume":"132","author":"S Dadsetan","year":"2022","unstructured":"Dadsetan S, Arefan D, Berg WA, Zuley ML, Sumkin JH, Shandong Wu. Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. Pattern Recognit. 2022;132: 108919.","journal-title":"Pattern Recognit"},{"key":"3002_CR5","doi-asserted-by":"crossref","unstructured":"Delazio A, Nakagaki K, Lehman JF, Klatzky R, Sample A and Hudson SE. Force Jacket: pneumatically-actuated jacket for embodied haptic experiences. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018;320, 1\u201312.","DOI":"10.1145\/3173574.3173894"},{"key":"3002_CR6","doi-asserted-by":"publisher","first-page":"69688","DOI":"10.1109\/ACCESS.2022.3186021","volume":"10","author":"AS ElKorany","year":"2022","unstructured":"ElKorany AS, Marey M, Almustafa KM, Elsharkawy ZF. Breast cancer diagnosis using support vector machines optimized by whale optimization and dragonfly algorithms. IEEE Access. 2022;10:69688\u201399.","journal-title":"IEEE Access"},{"key":"3002_CR7","doi-asserted-by":"crossref","unstructured":"Fernandes J and Jiang H. Three axis capacitive touch sensor for clinical breast examination training. 2016 IEEE SENSORS. IEEE, 2016;1\u20133.","DOI":"10.1109\/ICSENS.2016.7808881"},{"key":"3002_CR8","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2021.626074","volume":"15","author":"SW Jensen","year":"2021","unstructured":"Jensen SW, Salmon JL, Killpack MD. Trends in haptic communication of human-human dyads: toward natural human-robot co-manipulation. Front Neurorobotics. 2021;15: 626074.","journal-title":"Front Neurorobotics"},{"key":"3002_CR9","doi-asserted-by":"crossref","unstructured":"Kavitha M, Saritha V, Venkata Krishna P and Obaidat MS. Wireless sensor enabled breast self-examination assistance to detect abnormality. In: 2018 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2022;1\u20135.","DOI":"10.1109\/CITS.2018.8440128"},{"key":"3002_CR10","doi-asserted-by":"crossref","unstructured":"Kerdvibulvech C. Recent multimodal communication methodologies in phonology, vision, and touch. HCI. 2020;(2) 392\u2013400.","DOI":"10.1007\/978-3-030-49062-1_27"},{"key":"3002_CR11","doi-asserted-by":"crossref","unstructured":"Kittipongdaja P, Siriborvornratanakul T. Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images. J Image Video Proc 2022;2022:5.","DOI":"10.1186\/s13640-022-00581-x"},{"issue":"1","key":"3002_CR12","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/MNET.011.2000255","volume":"35","author":"X Li","year":"2021","unstructured":"Li X, Yuan Z, Zhao J, Bo Du, Liao X, Humar I. Edge-learning-enabled realistic touch and stable communication for remote haptic display. IEEE Netw. 2021;35(1):141\u20137.","journal-title":"IEEE Netw"},{"key":"3002_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eclinm.2021.100985","volume":"38","author":"SM Lima","year":"2021","unstructured":"Lima SM, Kehm RD, Terry MB. Global breast cancer incidence and mortality trends by region, age-groups, and fertility patterns. EClinicalMedicine. 2021;38:1\u20134.","journal-title":"EClinicalMedicine"},{"key":"3002_CR14","doi-asserted-by":"crossref","unstructured":"Liu M, Guo D, Zhang Z. A method of touchable 3d model reconstruction based on mixed reality\u2014a case study of medical training applications. ICIGP, 2023;83\u20139.","DOI":"10.1145\/3582649.3582679"},{"issue":"14","key":"3002_CR15","doi-asserted-by":"publisher","first-page":"3629","DOI":"10.1093\/bioinformatics\/btac381","volume":"38","author":"H Liu","year":"2022","unstructured":"Liu H, Kurc T. Deep learning for survival analysis in breast cancer with whole slide image data. Bioinform. 2022;38(14):3629\u201337.","journal-title":"Bioinform"},{"key":"3002_CR16","doi-asserted-by":"crossref","unstructured":"Nagi F, Salih R, Alzubaidi M, Shah H, Alam T, Shah Z, Househ MS. Applications of Artificial Intelligence (AI) in medical education: a scoping review. ICIMTH, 2023;648\u2013651","DOI":"10.3233\/SHTI230581"},{"key":"3002_CR17","unstructured":"National Cancer Institute. Cancer Stat Facts: Female Breast Cancer. 2022.https:\/\/seer.cancer.gov\/statfacts\/html\/breast.html, Accessed: 2022-07-27."},{"key":"3002_CR18","doi-asserted-by":"publisher","DOI":"10.3389\/frvir.2022.879845","volume":"3","author":"OJA Nunez","year":"2022","unstructured":"Nunez OJA, Zenner A, Steinicke F, Daiber F, Kr\u00fcger A. Holitouch: Conveying holistic touch illusions by combining pseudo-haptics with tactile and proprioceptive feedback during virtual interaction with 3DUIs. Front Virtual Real. 2022;3: 879845.","journal-title":"Front Virtual Real"},{"key":"3002_CR19","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2023.1075634","author":"L Patern\u00f2","year":"2023","unstructured":"Patern\u00f2 L, Lorenzon L. Soft robotics in wearable and implantable medical applications: translational challenges and future outlooks. Front Robot AI. 2023. https:\/\/doi.org\/10.3389\/frobt.2023.1075634.","journal-title":"Front Robot AI"},{"issue":"10","key":"3002_CR20","doi-asserted-by":"publisher","first-page":"180:1","DOI":"10.1007\/s10916-018-1044-0","volume":"42","author":"A Quezada","year":"2018","unstructured":"Quezada A, Ju\u00e1rez-Ram\u00edrez R, Jim\u00e9nez S, Armenta JJT, Villarroel R, Mu\u00f1oz R. Relations between touch target size and drag distance in mobile applications for users with autism spectrum disorders. J Med Syst. 2018;42(10):180:1-180:12.","journal-title":"J Med Syst"},{"key":"3002_CR21","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.ijhcs.2022.102881","volume":"166","author":"R Raisamo","year":"2022","unstructured":"Raisamo R, Salminen K, Rantala J, Farooq A, Ziat M. Interpersonal haptic communication: review and directions for the future. Int J Human Comput Stud. 2022;166:2\u20133.","journal-title":"Int J Human Comput Stud"},{"key":"3002_CR22","doi-asserted-by":"publisher","DOI":"10.1007\/s44206-023-00044-4","author":"K Rasrichai","year":"2023","unstructured":"Rasrichai K, Chantarutai T, Kerdvibulvech C. Recent roles of artificial intelligence artists in art circulation. Digit Soc. 2023. https:\/\/doi.org\/10.1007\/s44206-023-00044-4.","journal-title":"Digit Soc"},{"issue":"11","key":"3002_CR23","doi-asserted-by":"publisher","first-page":"12126","DOI":"10.1609\/aaai.v36i11.21472","volume":"36","author":"O Sanni","year":"2022","unstructured":"Sanni O, Bonvicini G, Khan MA, L\u00f3pez-Custodio PC, Nazari K, Ghalamzan E. AM. Deep movement primitives: toward breast cancer examination robot. AAAI. 2022;36(11):12126\u201334.","journal-title":"AAAI"},{"key":"3002_CR24","doi-asserted-by":"crossref","unstructured":"Siriborvornratanakul T. Advanced artificial intelligence methods for medical applications. HCI 2023;(19) 329\u201340.","DOI":"10.1007\/978-3-031-35748-0_24"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03002-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-024-03002-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03002-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T15:16:25Z","timestamp":1718723785000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-024-03002-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,18]]},"references-count":24,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["3002"],"URL":"https:\/\/doi.org\/10.1007\/s42979-024-03002-0","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,18]]},"assertion":[{"value":"22 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"660"}}