{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T21:48:55Z","timestamp":1776116935903,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":105,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T00:00:00Z","timestamp":1717372800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,3]]},"DOI":"10.1145\/3630106.3658971","type":"proceedings-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T13:14:21Z","timestamp":1717593261000},"page":"1268-1281","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Meaningful Transparency for Clinicians: Operationalising HCXAI Research with Gynaecologists"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5359-4656","authenticated-orcid":false,"given":"Bianca Giulia Sarah","family":"Schor","sequence":"first","affiliation":[{"name":"University of Cambridge, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4912-7216","authenticated-orcid":false,"given":"Emma","family":"Kallina","sequence":"additional","affiliation":[{"name":"University of Cambridge, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5102-6564","authenticated-orcid":false,"given":"Jatinder","family":"Singh","sequence":"additional","affiliation":[{"name":"University of Cambridge, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5557-574X","authenticated-orcid":false,"given":"Alan","family":"Blackwell","sequence":"additional","affiliation":[{"name":"University of Cambridge, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2024,6,5]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174156"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.86"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.4324\/9780429340819"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2023.102616"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3406091"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1177\/1461444816676645"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Tariq\u00a0Osman Andersen Francisco Nunes Lauren Wilcox Enrico Coiera and Yvonne Rogers. 2023. Introduction to the Special Issue on Human-Centred AI in Healthcare: Challenges Appearing in the Wild. 11\u00a0pages.","DOI":"10.1145\/3589961"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/app11115088"},{"key":"e_1_3_2_1_9_1","volume-title":"What is transparency?Public Integrity 11, 4","author":"Ball Carolyn","year":"2009","unstructured":"Carolyn Ball. 2009. What is transparency?Public Integrity 11, 4 (2009), 293\u2013308."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753521"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979041"},{"key":"e_1_3_2_1_12_1","volume-title":"Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26\u201329, 2019, Proceedings 17","author":"Bartoletti Ivana","year":"2019","unstructured":"Ivana Bartoletti. 2019. AI in healthcare: Ethical and privacy challenges. In Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26\u201329, 2019, Proceedings 17. Springer, 7\u201310."},{"key":"e_1_3_2_1_13_1","unstructured":"Bettina Berendt. 2022. The AI Act Proposal: Towards the next transparency fallacy? Why AI regulation should be based on principles based on how algorithmic discrimination works."},{"key":"e_1_3_2_1_14_1","volume-title":"International journal of medical informatics 55, 2","author":"Berg Marc","year":"1999","unstructured":"Marc Berg. 1999. Patient care information systems and health care work: a sociotechnical approach. International journal of medical informatics 55, 2 (1999), 87\u2013101."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581314"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3375624"},{"key":"e_1_3_2_1_17_1","volume-title":"Using thematic analysis in psychology. Qualitative research in psychology 3, 2","author":"Braun Virginia","year":"2006","unstructured":"Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77\u2013101."},{"key":"e_1_3_2_1_18_1","volume-title":"Deep learning-based Segmentation of Multi-site Disease in Ovarian Cancer. medRxiv","author":"Buddenkotte Thomas","year":"2023","unstructured":"Thomas Buddenkotte, Leonardo Rundo, Ramona Woitek, Lorena Escudero\u00a0Sanchez, Lucian Beer, Mireia Crispin-Ortuzar, Christian Etmann, Subhadip Mukherjee, Vlad Bura, Cathal McCague, 2023. Deep learning-based Segmentation of Multi-site Disease in Ovarian Cancer. medRxiv (2023), 2023\u201301."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581251"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581524"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2015.26"},{"key":"e_1_3_2_1_22_1","volume-title":"Mapping gender data gaps. Data2X report","author":"Buvinic Mayra","year":"2014","unstructured":"Mayra Buvinic, Rebecca Furst-Nichols, and Gayatri Koolwal. 2014. Mapping gender data gaps. Data2X report, United Nations Foundation, Washington, DC. http:\/\/data2x. org\/wp-content\/up8 loads\/2014\/11\/Data2X_MappingGenderDataGaps_FullReport. pdf (2014)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1111\/j.1740-9713.2016.00899.x","article-title":"Closing the gender data gap","volume":"13","author":"Buvinic Mayra","year":"2016","unstructured":"Mayra Buvinic and Ruth Levine. 2016. Closing the gender data gap. Significance 13, 2 (2016), 34\u201337.","journal-title":"Significance"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359206"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580959"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445921"},{"key":"e_1_3_2_1_27_1","unstructured":"collective. [n. d.]. Wikipedia: CT scans. https:\/\/en.wikipedia.org\/wiki\/CT_scan"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1002\/uog.22122","article-title":"Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology","volume":"56","author":"Drukker L","year":"2020","unstructured":"L Drukker, JA Noble, and AT Papageorghiou. 2020. Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology. Ultrasound in Obstetrics & Gynecology 56, 4 (2020), 498\u2013505.","journal-title":"Ultrasound in Obstetrics & Gynecology"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2701152"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445188"},{"key":"e_1_3_2_1_31_1","volume-title":"The who in explainable ai: How ai background shapes perceptions of ai explanations. arXiv preprint arXiv:2107.13509","author":"Ehsan Upol","year":"2021","unstructured":"Upol Ehsan, Samir Passi, Q\u00a0Vera Liao, Larry Chan, I Lee, Michael Muller, Mark\u00a0O Riedl, 2021. The who in explainable ai: How ai background shapes perceptions of ai explanations. arXiv preprint arXiv:2107.13509 (2021)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411763.3441342"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3503727"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3573832"},{"key":"e_1_3_2_1_35_1","volume-title":"Integration of the cognitive and the psychodynamic unconscious.American psychologist 49, 8","author":"Epstein Seymour","year":"1994","unstructured":"Seymour Epstein. 1994. Integration of the cognitive and the psychodynamic unconscious.American psychologist 49, 8 (1994), 709."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13172813"},{"key":"e_1_3_2_1_37_1","volume-title":"Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI","author":"Fjeld Jessica","year":"2020","unstructured":"Jessica Fjeld, Nele Achten, Hannah Hilligoss, Adam Nagy, and Madhulika Srikumar. 2020. Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI. Berkman Klein Center Research Publication2020-1 (2020)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.ejogrb.2021.04.012","article-title":"Artificial intelligence (AI) in the detection of rectosigmoid deep endometriosis","volume":"261","author":"Guerriero Stefano","year":"2021","unstructured":"Stefano Guerriero, MariaAngela Pascual, Silvia Ajossa, Manuela Neri, Eleonora Musa, Betlem Graupera, Ignacio Rodriguez, and Juan\u00a0Luis Alcazar. 2021. Artificial intelligence (AI) in the detection of rectosigmoid deep endometriosis. European Journal of Obstetrics & Gynecology and Reproductive Biology 261 (2021), 29\u201333.","journal-title":"European Journal of Obstetrics & Gynecology and Reproductive Biology"},{"key":"e_1_3_2_1_39_1","volume-title":"The checklist manifesto","author":"Guwande Atul","year":"2010","unstructured":"Atul Guwande. 2010. The checklist manifesto. New York: Picadur (2010)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2022.122120"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3170427.3173031"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290607.3310430"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3322276.3323692"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376528"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the 2020 ACM Designing Interactive Systems Conference. 1833\u20131846","author":"Homewood Sarah","year":"2020","unstructured":"Sarah Homewood and Anna Vallg\u00e5rda. 2020. Putting phenomenological theories to work in the design of self-tracking technologies. In Proceedings of the 2020 ACM Designing Interactive Systems Conference. 1833\u20131846."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.21037\/qims-22-494","article-title":"Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images","volume":"13","author":"Hu Dingdu","year":"2023","unstructured":"Dingdu Hu, Junming Jian, Yongai Li, and Xin Gao. 2023. Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images. Quantitative Imaging in Medicine and Surgery 13, 3 (2023), 1464.","journal-title":"Quantitative Imaging in Medicine and Surgery"},{"key":"e_1_3_2_1_47_1","unstructured":"IEEE. 2022. 7001-2021. IEEE Standard for Transparency of Autonomous Systems. https:\/\/ieeexplore.ieee.org\/document\/9726144"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445385"},{"key":"e_1_3_2_1_49_1","volume-title":"Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology 2, 4","author":"Jiang Fei","year":"2017","unstructured":"Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, and Yongjun Wang. 2017. Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology 2, 4 (2017)."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0088-2"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","first-page":"6833","DOI":"10.3390\/jcm12216833","article-title":"Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology","volume":"12","author":"Jost Elena","year":"2023","unstructured":"Elena Jost, Philipp Kosian, Jorge Jimenez\u00a0Cruz, Shadi Albarqouni, Ulrich Gembruch, Brigitte Strizek, and Florian Recker. 2023. Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology. Journal of Clinical Medicine 12, 21 (2023), 6833.","journal-title":"Journal of Clinical Medicine"},{"key":"e_1_3_2_1_52_1","unstructured":"Daniel Kahneman. 2011. Thinking fast and slow. macmillan."},{"key":"e_1_3_2_1_53_1","volume-title":"Key challenges for delivering clinical impact with artificial intelligence. BMC medicine 17","author":"Kelly J","year":"2019","unstructured":"Christopher\u00a0J Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, and Dominic King. 2019. Key challenges for delivering clinical impact with artificial intelligence. BMC medicine 17 (2019), 1\u20139."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404218"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858402"},{"key":"e_1_3_2_1_56_1","unstructured":"Ansgar Koene Chris Clifton Yohko Hatada Helena Webb and Rashida Richardson. 2019. A governance framework for algorithmic accountability and transparency. (2019)."},{"key":"e_1_3_2_1_57_1","first-page":"633","article-title":"Accountable algorithms","volume":"165","author":"Kroll Joshua\u00a0Alexander","year":"2017","unstructured":"Joshua\u00a0Alexander Kroll, Joanna Huey, Solon Barocas, Edward\u00a0W. Felten, Joel\u00a0R. Reidenberg, David\u00a0G. Robinson, and Harlan Yu. 2017. Accountable algorithms. University of Pennsylvania Law Review 165 (2017), 633\u2013705. https:\/\/scholarship.law.upenn.edu\/penn_law_review\/vol165\/iss3\/3\/","journal-title":"University of Pennsylvania Law Review"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1108\/INTR-08-2021-0600"},{"key":"e_1_3_2_1_59_1","volume-title":"Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach. Artificial intelligence in medicine 94","author":"Lamy Jean-Baptiste","year":"2019","unstructured":"Jean-Baptiste Lamy, Boomadevi Sekar, Gilles Guezennec, Jacques Bouaud, and Brigitte S\u00e9roussi. 2019. Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach. Artificial intelligence in medicine 94 (2019), 42\u201353."},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.14763\/2020.2.1469"},{"key":"e_1_3_2_1_61_1","volume-title":"Playing with the Data: What Legal Scholars Should Learn About Machine Learning. UC Davis Law Review 51","author":"Lehr David","year":"2017","unstructured":"David Lehr and Paul Ohm. 2017. Playing with the Data: What Legal Scholars Should Learn About Machine Learning. UC Davis Law Review 51 (2017)."},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1530\/RAF-21-0031","article-title":"Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign","volume":"2","author":"Maicas Gabriel","year":"2021","unstructured":"Gabriel Maicas, Mathew Leonardi, Jodie Avery, Catrina Panuccio, Gustavo Carneiro, M\u00a0Louise Hull, and George Condous. 2021. Deep learning to diagnose pouch of Douglas obliteration with ultrasound sliding sign. Reproduction and Fertility 2, 4 (2021), 236\u2013243.","journal-title":"Reproduction and Fertility"},{"key":"e_1_3_2_1_63_1","volume-title":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2109\u20132112","author":"Mathur Praful","year":"2020","unstructured":"Praful Mathur, Karan Kakwani, Srinivas Kudavelly, GA Ramaraju, 2020. Deep learning based quantification of ovary and follicles using 3d transvaginal ultrasound in assisted reproduction. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2109\u20132112."},{"key":"e_1_3_2_1_64_1","volume-title":"Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267","author":"Miller Tim","year":"2019","unstructured":"Tim Miller. 2019. Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence 267 (2019), 1\u201338."},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3334480.3375203"},{"key":"e_1_3_2_1_66_1","volume-title":"An Overview of Machine Learning Techniques Focusing on the Diagnosis of Endometriosis. Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2022","author":"Naqvi Najme\u00a0Zehra","year":"2023","unstructured":"Najme\u00a0Zehra Naqvi, Kritleen Kaur, Shubhi Khanna, and Shivangi Singh. 2023. An Overview of Machine Learning Techniques Focusing on the Diagnosis of Endometriosis. Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2022 (2023), 61\u201384."},{"key":"e_1_3_2_1_67_1","volume-title":"Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks. Computers in Biology and Medicine","author":"Nazir Sajid","year":"2023","unstructured":"Sajid Nazir, Diane\u00a0M Dickson, and Muhammad\u00a0Usman Akram. 2023. Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks. Computers in Biology and Medicine (2023), 106668."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"crossref","unstructured":"Chris Norval Jennifer Cobbe and Jatinder Singh. 2021. Towards an accountable Internet of Things: A call for \u2018reviewability\u2019. In Privacy by Design for the Internet of Things: Building Accountability and Security. The Institution of Engineering and Technology.","DOI":"10.1049\/PBSE014E_ch5"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533133"},{"key":"e_1_3_2_1_70_1","volume-title":"A Room With an Overview: Towards Meaningful Transparency for the Consumer Internet of Things","author":"Norval Chris","year":"2023","unstructured":"Chris Norval and Jatinder Singh. 2023. A Room With an Overview: Towards Meaningful Transparency for the Consumer Internet of Things. IEEE Internet of Things Journal (2023)."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/2053951720935615","article-title":"Sunlight alone is not a disinfectant: Consent and the futility of opening Big Data black boxes (without assistance)","volume":"7","author":"Obar A.","year":"2020","unstructured":"Jonathan\u00a0A. Obar. 2020. Sunlight alone is not a disinfectant: Consent and the futility of opening Big Data black boxes (without assistance). Big Data & Society 7, 1 (2020), 1\u20135.","journal-title":"Big Data & Society"},{"key":"e_1_3_2_1_72_1","volume-title":"Aparecido\u00a0Fabiano Pinatti\u00a0de Carvalho","author":"Ontika Nazmun\u00a0Nisat","year":"2022","unstructured":"Nazmun\u00a0Nisat Ontika, Hussain\u00a0Abid Syed, Sheree\u00a0May Sa\u00dfmannshausen, Richard\u00a0HR Harper, Yunan Chen, Sun\u00a0Young Park, Miria Grisot, Astrid Chow, Nils Blaumer, Aparecido\u00a0Fabiano Pinatti\u00a0de Carvalho, 2022. Exploring human-centered AI in healthcare: diagnosis, explainability, and trust. (2022)."},{"key":"e_1_3_2_1_73_1","volume-title":"Co-design of human-centered, explainable AI for clinical decision support. ACM Transactions on Interactive Intelligent Systems","author":"Panigutti Cecilia","year":"2023","unstructured":"Cecilia Panigutti, Andrea Beretta, Daniele Fadda, Fosca Giannotti, Dino Pedreschi, Alan Perotti, and Salvatore Rinzivillo. 2023. Co-design of human-centered, explainable AI for clinical decision support. ACM Transactions on Interactive Intelligent Systems (2023)."},{"key":"e_1_3_2_1_74_1","unstructured":"Caroline\u00a0Criado Perez. 2019. Invisible women: Data bias in a world designed for men. Abrams."},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290607.3299014"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110273"},{"key":"e_1_3_2_1_77_1","first-page":"5","article-title":"Co-creation and the new landscapes of design","volume":"4","author":"Sanders Elizabeth B-N","year":"2008","unstructured":"Elizabeth B-N Sanders and Pieter\u00a0Jan Stappers. 2008. Co-creation and the new landscapes of design. Co-design 4, 1 (2008), 5\u201318.","journal-title":"Co-design"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocaa296"},{"key":"e_1_3_2_1_79_1","volume-title":"IoT and AI in healthcare: A systematic literature review.Issues in Information Systems 19, 3","author":"Shah Rushabh","year":"2018","unstructured":"Rushabh Shah and Alina Chircu. 2018. IoT and AI in healthcare: A systematic literature review.Issues in Information Systems 19, 3 (2018)."},{"key":"e_1_3_2_1_80_1","first-page":"8068","article-title":"A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach","volume":"22","author":"Sheu Ruey-Kai","year":"2022","unstructured":"Ruey-Kai Sheu and Mayuresh\u00a0Sunil Pardeshi. 2022. A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System. Sensors 22, 20 (2022), 8068.","journal-title":"Human Interaction and Scoring System. Sensors"},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581075"},{"key":"e_1_3_2_1_82_1","volume-title":"Research co-design in health: a rapid overview of reviews. Health research policy and systems 18, 1","author":"Slattery Peter","year":"2020","unstructured":"Peter Slattery, Alexander\u00a0K Saeri, and Peter Bragge. 2020. Research co-design in health: a rapid overview of reviews. Health research policy and systems 18, 1 (2020), 1\u201313."},{"key":"e_1_3_2_1_83_1","volume-title":"Managing Opacity: Information Visibility and the Paradox of Transparency in the Digital Age. International Journal of Communication 10","author":"Stohl Cynthia","year":"2016","unstructured":"Cynthia Stohl, Michael Stohl, and Paul\u00a0M Leonardi. 2016. Managing Opacity: Information Visibility and the Paradox of Transparency in the Digital Age. International Journal of Communication 10 (2016)."},{"key":"e_1_3_2_1_84_1","volume-title":"Systems 1 and 2 thinking processes and cognitive reflection testing in medical students. Canadian medical education journal 7, 2","author":"Tay Shu\u00a0Wen","year":"2016","unstructured":"Shu\u00a0Wen Tay, Paul Ryan, and C\u00a0Anthony Ryan. 2016. Systems 1 and 2 thinking processes and cognitive reflection testing in medical students. Canadian medical education journal 7, 2 (2016), e97."},{"key":"e_1_3_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.1145\/3564752"},{"key":"e_1_3_2_1_86_1","unstructured":"Sana Tonekaboni Shalmali Joshi Melissa\u00a0D McCradden and Anna Goldenberg. 2019. What clinicians want: contextualizing explainable machine learning for clinical end use. In Machine learning for healthcare conference. PMLR 359\u2013380."},{"key":"e_1_3_2_1_87_1","volume-title":"2020 IEEE International Conference on Image Processing (ICIP). IEEE","author":"Uehara Kazuki","year":"2020","unstructured":"Kazuki Uehara, Masahiro Murakawa, Hirokazu Nosato, and Hidenori Sakanashi. 2020. Multi-scale explainable feature learning for pathological image analysis using convolutional neural networks. In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 1931\u20131935."},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581506"},{"key":"e_1_3_2_1_89_1","volume-title":"On improving physicians","author":"Verma Himanshu","year":"2021","unstructured":"Himanshu Verma, Roger Schaer, Julien Reichenbach, Mario Jreige, John\u00a0O Prior, Florian Ev\u00e9quoz, and Adrien Depeursinge. 2021. On improving physicians\u2019 trust in AI: Qualitative inquiry with imaging experts in the oncological domain. BMC Medical Imaging, in review (2021)."},{"key":"e_1_3_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300831"},{"key":"e_1_3_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2023.1187299"},{"key":"e_1_3_2_1_92_1","volume-title":"Explainable AI: Interpreting, Explaining and Visualizing Deep Learning","author":"Weller Adrian","unstructured":"Adrian Weller. 2019. Transparency: motivations and challenges. In Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Springer, 23\u201340."},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372833"},{"key":"e_1_3_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372833"},{"key":"e_1_3_2_1_95_1","volume-title":"IEEE P7001: a proposed standard on transparency. Frontiers in Robotics and AI","author":"Winfield FT","year":"2021","unstructured":"Alan\u00a0FT Winfield, Serena Booth, Louise\u00a0A Dennis, Takashi Egawa, Helen Hastie, Naomi Jacobs, Roderick\u00a0I Muttram, Joanna\u00a0I Olszewska, Fahimeh Rajabiyazdi, Andreas Theodorou, 2021. IEEE P7001: a proposed standard on transparency. Frontiers in Robotics and AI (2021), 225."},{"key":"e_1_3_2_1_96_1","volume-title":"Explainable deep learning: A field guide for the uninitiated. arXiv preprint arXiv:2004.14545","author":"Xie Ning","year":"2020","unstructured":"Ning Xie, Gabrielle Ras, Marcel van Gerven, and Derek Doran. 2020. Explainable deep learning: A field guide for the uninitiated. arXiv preprint arXiv:2004.14545 (2020)."},{"key":"e_1_3_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376807"},{"key":"e_1_3_2_1_98_1","volume-title":"Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis. CoRR abs\/1902.06019","author":"Xie Yao","year":"2019","unstructured":"Yao Xie, Ge Gao, and Xiang\u00a0\u2019Anthony\u2019 Chen. 2019. Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis. CoRR abs\/1902.06019 (2019). arXiv:1902.06019http:\/\/arxiv.org\/abs\/1902.06019"},{"key":"e_1_3_2_1_99_1","volume-title":"Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review. Journal of Healthcare Engineering 2023","author":"Xu Qian","year":"2023","unstructured":"Qian Xu, Wenzhao Xie, Bolin Liao, Chao Hu, Lu Qin, Zhengzijin Yang, Huan Xiong, Yi Lyu, Yue Zhou, Aijing Luo, 2023. Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review. Journal of Healthcare Engineering 2023 (2023)."},{"key":"e_1_3_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581393"},{"key":"e_1_3_2_1_101_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376301"},{"key":"e_1_3_2_1_102_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300468"},{"key":"e_1_3_2_1_103_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372852"},{"key":"e_1_3_2_1_104_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581320"},{"key":"e_1_3_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.3389\/fhumd.2021.688152"}],"event":{"name":"FAccT '24: The 2024 ACM Conference on Fairness, Accountability, and Transparency","location":"Rio de Janeiro Brazil","acronym":"FAccT '24"},"container-title":["The 2024 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630106.3658971","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3630106.3658971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:50:58Z","timestamp":1750287058000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3630106.3658971"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,3]]},"references-count":105,"alternative-id":["10.1145\/3630106.3658971","10.1145\/3630106"],"URL":"https:\/\/doi.org\/10.1145\/3630106.3658971","relation":{},"subject":[],"published":{"date-parts":[[2024,6,3]]},"assertion":[{"value":"2024-06-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}