Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
Antoniadi, Anna Markella, Du, Yuhan, Guendouz, Yasmine, Wei, Lan, Mazo, Claudia, Becker, Brett A., Mooney, Catherine·2021·Applied Sciences
Cited by (628)
Items 101–200 of 628
- Deep learning–radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patientsSeonhwa Kim, June Hyuck Lim, Chul‐Ho Kim, Jin Roh, Seulgi You, Jeong‐Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park et al. · 2024 · Scientific Reports
- Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurityMarek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś · 2024 · Neurocomputing
- Detection of spontaneous seizures in EEGs in multiple experimental mouse models of epilepsyLan Wei, Halima Boutouil, Rogério R. Gerbatin, Omar Mamad, Mona Heiland, Cristina Ruedell Reschke, Federico Del Gallo, Paolo Francesco Fabene, David Clifford Henshall, Madeleine M. Lowery et al. · 2021 · Journal of Neural Engineering
- A Scoping Review on the Progress, Applicability, and Future of Explainable Artificial Intelligence in MedicineRaquel González-Alday, Esteban García-Cuesta, Maojo, Casimir Kulikowski · 2023 · Applied Sciences
- Explainable AI models for predicting drop coalescence in microfluidics deviceJinwei Hu, Kewei Zhu, Sibo Lucas Cheng, Nina M. Kovalchuk, Alfred Soulsby, Mark J.H. Simmons, Omar K. Matar, Rossella Arcucci · 2024 · Chemical Engineering Journal
- Mental Health Diagnosis: A Case for Explainable Artificial IntelligenceGrigoris Antoniou, Emmanuel P. Papadakis, George Baryannis · 2022 · International Journal of Artificial Intelligence Tools
- A Data-Driven Framework for Identifying Intensive Care Unit Admissions Colonized With Multidrug-Resistant OrganismsÇağlar Çağlayan, Sean Barnes, Lisa L. Pineles, Eili Y. Klein, Anthony D. Harris · 2022 · Frontiers in Public Health
- Explainable AI in Healthcare ApplicationSiva Raja Sindiramutty, Wee Jing Tee, Sumathi Balakrishnan, Sukhminder Kaur, Rajan Thangaveloo, Husin Jazri, Navid Ali Khan, Abdalla Hassan Gharib, Amaranadha Reddy Manchuri · 2024 · Advances in computational intelligence and robotics book series
- Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric AnalysisPummy Dhiman, Anupam Bonkra, Amandeep Kaur, Yonis Gulzar, Yasir Hamid, Mohammad Shuaib Mir, Arjumand Bano Soomro, Osman Elwasila · 2023 · Information
- Health professionals' perspectives on the use of Artificial Intelligence in healthcare: A systematic reviewRakesh Kumar Sahoo, Krushna Chandra Sahoo, Sapna Negi, Santos Kumar Baliarsingh, Bhuputra Panda, Sanghamitra Pati · 2025 · Patient Education and Counseling
- Exploring a decade of deep learning in dentistry: A comprehensive mapping reviewFatemeh Sohrabniya, Sahel Hassanzadeh-Samani, Seyed AmirHossein Ourang, Bahare Jafari, Golnoush Farzinnia, Fatemeh Gorjinejad, Azadeh Ghalyanchi‐Langeroudi, Hossein Mohammad‐Rahimi, Antonín Tichý, Saeed Reza Motamedian et al. · 2025 · Clinical Oral Investigations
- Machine-Learning-Based Digital Twin System for Predicting the Progression of Prostate CancerJae Kwon Kim, Sunjung Lee, Sung‐Hoo Hong, In-Young Choi · 2022 · Applied Sciences
- Data Information integrated Neural Network (DINN) algorithm for modelling and interpretation performance analysis for energy systemsWaqar Muhammad Ashraf, Vivek Dua · 2024 · Energy and AI
- Algorithmic self-referentiality: How machine learning pushes calculative practices to assess themselvesYuval Millo, Crawford Spence, Ruo-Wen Xu · 2024 · Accounting, Organizations and Society
- “Nothing works without the doctor:” physicians’ perception of clinical decision-making and artificial intelligenceSamhammer, David, Roller, Roland, Hummel, Patrik, Osmanodja, Bilgin, Burchardt, Aljoscha, Mayrdorfer, Manuel, Duettmann, Wiebke, Dabrock, Peter · 2022 · Frontiers in Medicine
- Attentive Hierarchical ANFIS with interpretability for cancer diagnosticTuan-Linh Nguyen, Swathi Kavuri, Soo-Yeon Park, Minho Lee · 2022 · Expert Systems with Applications
- NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAMNicola Altini, Antonio Brunetti, Emilia Puro, Maria Giovanna Taccogna, Concetta Saponaro, Francesco Alfredo Zito, Simona De Summa, Vitoantonio Bevilacqua · 2022 · Bioengineering
- Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic PatientsHaohui Lu, Shahadat Uddin · 2022 · Information
- Sig-Lime: A Signal-Based Enhancement of Lime Explanation TechniqueTalal A. A. Abdullah, Mohd Soperi Mohd Zahid, Ahmad F. Turki, Waleed Ali, Ahmad A. Jiman, Mohammed J. Abdulaal, Nebras M. Sobahi, Eyad Talal Attar · 2024 · IEEE Access
- Introduction to Explainable AI (XAI) in E-CommerceMeenu Chaudhary, Loveleen Gaur, Gurinder Singh, Anam Afaq · 2024 · Studies in computational intelligence
- Emerging trends in multi-modal artificial intelligence for clinical decision support: a narrative reviewArdic, Nurittin, Dinc, Rasit · 2025 · Health Informatics Journal
- A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?Ziming Wang, Changwu Huang, Xin Yao · 2024 · ACM Transactions on Autonomous and Adaptive Systems
- A comprehensive review of explainable artificial intelligence in healthcare methods, evaluation, and clinical integrationKai Zhang, Dongqi Wang, Fuxin Lin, Jue Xie, Weihua Zhou · 2026 · iScience
- AI and IoT Applications in Medical Domain Enhancing Healthcare Through Technology IntegrationSiva Subramanian R, K. Sudha, C. Ambhika, B. Maheswari, P. Girija, M. Nalini · 2023 · Advances in medical technologies and clinical practice book series
- ShapG: New feature importance method based on the Shapley valueChi Zhao, Jing Liu, Елена Михайловна Парилина · 2025 · Engineering Applications of Artificial Intelligence
- Responsible AI in automated credit scoring systemsKrishna Ravali Jammalamadaka, Srikanth Itapu · 2022 · AI and Ethics
- Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future DirectionsAziz, Noor A., Manzoor, Awais, Mazhar Qureshi, Muhammad Deedahwar, Qureshi, M. Atif, Rashwan, Wael · 2024
- Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal CarcinomaXinggang Yang, Juan Wu, Xiyang Chen · 2023 · Journal of Clinical Medicine
- Requirements for Trustworthy Artificial Intelligence and its Application in HealthcareMyeongju Kim, Hyoju Sohn, S. K. Choi, Sejoong Kim · 2023 · Healthcare Informatics Research
- Prediction of caregiver quality of life in amyotrophic lateral sclerosis using explainable machine learningAnna Markella Antoniadi, Miriam Galvin, Mark Heverin, Orla M. Hardiman, Catherine Mooney · 2021 · Scientific Reports
- Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic ReviewClaudia Mazo, Claudia Monica Aura, Arman Rahman, William M. Gallagher, Catherine Mooney · 2022 · Journal of Personalized Medicine
- Deep-spindle: An automated sleep spindle detection system for analysis of infant sleep spindlesLan Wei, Soraia Ventura, Mary Anne Ryan, Sean Mathieson, Geraldine B. Boylan, Madeleine M. Lowery, Catherine Mooney · 2022 · Computers in Biology and Medicine
- Explainable AI decision support improves accuracy during telehealth strep throat screeningGomez, Catalina, Smith, Brittany-Lee, Zayas, Alisa, Unberath, Mathias, Canares, Therese · 2024 · Communications Medicine
- Novel Study for the Early Identification of Injury Risks in Athletes Using Machine Learning TechniquesRocío Elizabeth Duarte Ayala, David Pérez Granados, Carlos Alberto González-Gutiérrez, Mauricio Alberto Ortega-Ruíz, Natalia Rojas Espinosa, Emanuel Canto Heredia · 2024 · Applied Sciences
- Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendationsMyura Nagendran, Paul Festor, Matthieu Komorowski, Anthony C. Gordon, A. Aldo Faisal · 2024 · npj Digital Medicine
- Smart Transparency: A User-Centered Approach to Improving Human–Machine Interaction in High-Risk Supervisory Control TasksKeran Wang, Wenjun Hou, Leyi Hong, Jinyu Guo · 2025 · Electronics
- Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case studyJimin Sun, Wenqi Shi, Felipe Giuste, Yog S. Vaghani, Lingzi Tang, May Dongmei Wang · 2023 · Scientific Reports
- Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among DermatologistsKüper, Alisa, Lodde, Georg Christian, Livingstone, Elisabeth, Schadendorf, Dirk, Krämer, Nicole · 2025 · Journal of Medical Internet Research
- New XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturingYu-Cheng Wang, Toly Chen · 2023 · Complex & Intelligent Systems
- Multidisciplinary considerations of fairness in medical AI: A scoping reviewYue Wang, Yaxin Song, Zhuo Ma, Xiaoxue Han · 2023 · International Journal of Medical Informatics
- A survey of post-hoc xai methods from a visualization perspective: Challenges and opportunitiesBhati, Deepshikha, Amiruzzaman, MD, Zhao, Ye, Guercio, Angela, Le, Tram · 2025 · IEEE Access
- The survey on the dual nature of xAI challenges in intrusion detection and their potential for AI innovationMarek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś · 2024 · Artificial Intelligence Review
- ``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary MedicineLorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies S Wijsenbeek, Jie Yang · 2024 · CHI Conference on Human Factors in Computing Systems
- Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression careMarta M. Maslej, Stefan M. Kloiber, Marzyeh Ghassemi, Joanna Yu, Sean Hill · 2023 · Translational Psychiatry
- The Amalgamation of Federated Learning and Explainable Artificial Intelligence for the Internet of Medical Things: A ReviewG. Chemmalar Selvi, Ramalingam Murugan, Gokul Yenduri, Deepti Raj Gurrammagari, Dasari Bhulakshmi, Dasaradharami Reddy Kandati, Y. Supriya, Thippa Reddy Gadekallu, Rajkumar Singh Rathore, Rutvij H. Jhaveri · 2023 · Recent Advances in Computer Science and Communications
- AI-powered trustable and explainable fall detection system using transfer learningAryan Nikul Patel, Ramalingam Murugan, Praveen Kumar Reddy Maddikunta, Gokul Yenduri, Rutvij H. Jhaveri, Yaodong Zhu, Thippa Reddy Gadekallu · 2024 · Image and Vision Computing
- Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approachCatherine Janes Staes, Anna Catherine Beck, George Chalkidis, Carolyn H. Scheese, Teresa Taft, Jia–Wen Guo, Michael G. Newman, Kensaku Kawamoto, Elizabeth Ann Sloss, Jordan P. McPherson · 2023 · Journal of the American Medical Informatics Association
- A review on the efficacy of artificial intelligence for managing anxiety disordersK. P. Das, P. Gavade · 2024 · Frontiers in Artificial Intelligence
- Explainable artificial intelligence for rock discontinuity detection from point cloud with ensemble methodsMehmet Akıf Günen · 2025 · Journal of Rock Mechanics and Geotechnical Engineering
- A Clinical Decision Support System for the Prediction of Quality of Life in ALSAnna Markella Antoniadi, Miriam Galvin, Mark Heverin, Lan Wei, Orla M. Hardiman, Catherine Mooney · 2022 · Journal of Personalized Medicine
- Investigation of a Web-Based Explainable AI Screening for Prolonged Grief DisorderWan Jou She, Chee Siang Ang, Robert A. Neimeyer, Laurie A. Burke, Yihong Zhang, Adam Jatowt, Yukiko Kawai, Jun Hu, Matthias Rauterberg, Holly Gwen Prigerson et al. · 2022 · IEEE Access
- A comprehensive review of AI applications in personalized medicineChioma Anthonia Okolo, Tolulope Oyinlola Olorunsogo, Oloruntoba Babawarun · 2024 · International Journal of Science and Research Archive
- Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional studyJunho Kim, Kyoungsik Jeong, Siwoo Lee, Younghwa Baek · 2024 · BMC Public Health
- Interpretation of machine learning models using XAI - A study on health insurance datasetAbhyudaya Bora, Ritika Sah, Alabhya Singh, Deepak Kumar Sharma, Ranjeet Kumar Ranjan · 2022 · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
- Bioinformatics investigation on blood-based gene expressions of Alzheimer's disease revealed ORAI2 gene biomarker susceptibility: An explainable artificial intelligence-based approachKarthik Sekaran, Alsamman M. Alsamman, C. George Priya Doss, Hatem Zayed · 2023 · Metabolic Brain Disease
- An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisionsSonia Farhana Nimmy, Farookh Khadeer Hussain, Ripon Kumar Chakrabortty, Farookh Khadeer Hussain, Morteza Saberi · 2023 · Knowledge-Based Systems
- Development of a machine learning-based model for the prediction and progression of diabetic kidney disease: A single centred retrospective studySandhya Nayak, Ashwini Amin, Swetha R. Reghunath, Girish Thunga, U. Dinesh Acharya, K N Shivashankara, Ravindra Prabhu Attur, Leelavathi D Acharya · 2024 · International Journal of Medical Informatics
- Machine Learning Models for Predicting Gynecological Cancers: Advances, Challenges, and Future DirectionsPankaj Kumar Garg, Madhu Krishna, Prakash Kulkarni, David A. Horne, Ravi Salgia, Sharad S. Singhal · 2025 · Cancers
- Transferring Black-Box Decision Making to a White-Box ModelBojan Žlahtič, Jernej Završnik, Helena Blažun Vošner, Peter Kokol · 2024 · Electronics
- Spindle-AI: Sleep Spindle Number and Duration Estimation in Infant EEGLan Wei, Soraia Ventura, Sean Mathieson, Geraldine B. Boylan, Madeleine M. Lowery, Catherine Mooney · 2021 · IEEE Transactions on Biomedical Engineering
- Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical ChallengesOliver Faust, Massimo Salvi, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya · 2025 · Sensors
- A call for more explainable AI in law enforcementRita Matulionytė, Ambreen Hanif · 2021 · IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW)
- Modeling and Predicting Urban Expansion in South Korea Using Explainable Artificial Intelligence (XAI) ModelMinjun Kim, Geunhan Kim · 2022 · Applied Sciences
- Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling techniqueNoor Afshan, Zohaib Mushtaq, Faten Sae Alamri, Muhammad Farrukh Qureshi, Nabeel Ahmed Khan, Imran Siddique · 2023 · AIMS Mathematics
- An Improved Ensemble Method for Predicting Hyperchloremia in Adults With Diabetic KetoacidosisGeorge Obaido, Blessing Ogbuokiri, Chidozie Williams Chukwu, Fadekemi Janet Osaye, Oluwaseun Francis Egbelowo, Mark Izuchukwu Uzochukwu, Ibomoiye Domor Mienye, Kehinde Aruleba, Mpho Primus, Okechinyere Achilonu · 2024 · IEEE Access
- Harnessing machine learning potential for personalised drug design and overcoming drug resistanceMohammed Ageeli Hakami · 2024 · Journal of drug targeting
- Explainable Artificial Intelligence (XAI) for Oncological Ultrasound Image Analysis: A Systematic ReviewLucie S. Wyatt, Lennard M. van Karnenbeek, Mark Wijkhuizen, Freija Geldof, Behdad Dashtbozorg · 2024 · Applied Sciences
- Overview of basic design recommendations for user-centered explanation interfaces for AI-based clinical decision support systems: A scoping reviewIan-C. Jung, Katharina Schuler, Maria Zerlik, Sophia Grummt, Martin Sedlmayr, Brita Sedlmayr · 2025 · Digital Health
- Doctors’ perception on the ethical use of AI-enabled clinical decision support systems for antibiotic prescribing recommendations in SingaporeZhilian Huang, Hannah Yee-Fen Lim, Jing Teng Ow, Shirley Hsiao-li Sun, Angela LP Chow · 2024 · Frontiers in Public Health
- Classification of AO/OTA 31A/B femur fractures in X-ray images using YOLOv8 and advanced data augmentation techniquesGiorgia Marullo, Luca Ulrich, Francesca Giada Antonaci, Andrea Audisio, Alessandro Aprato, Alessandro Massè, Enrico Vezzetti · 2024 · Bone Reports
- Exploring explainable AI: a bibliometric analysisChetan Banbarilal Sharma, Shamneesh Sharma, Komal Sharma, Ganesh Kumar Sethi, Y-H. Chen · 2024 · Discover Applied Sciences
- Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classificationAysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz · 2025 · BMC Medical Informatics and Decision Making
- Fusion of quantum computing and explainable AI: A comprehensive survey on transformative healthcare solutionsShashank Sheshar Singh, Sumit Kumar, Rohit Ahuja, Jayendra Barua · 2025 · Information Fusion
- Paving the Roadmap for XAI and IML in Healthcare: Data-Driven Discoveries and the FIXAIH FrameworkShatha Alghamdi, Rashid Mehmood, Fahad Abdullah Alqurashi, Ali Alzahrani · 2025 · IEEE Access
- Explainable Artificial Intelligence in Healthcare: Current Landscape, Challenges, and Future DirectionsMd Abu Bokkor Shiddik · 2026 · Health Science Reports
- Explainable AI: A Neurally-Inspired Decision Stack FrameworkMuhammad Salar Khan, Mehdi Nayebpour, Menghao Li, Hadi El‐Amine, Naoru Koizumi, James L. Olds · 2022 · Biomimetics
- Human-centric and semantics-based explainable event detection: a surveyTaiwo Kolajo, Olawande Daramola · 2023 · Artificial Intelligence Review
- Classification of PRPD Pattern in Cast- Resin Transformers Using CNN and Implementation of Explainable AI (XAI) With Grad-CAMHo-Seung Kim, Jiho Jung, Ryul Hwang, Seong‐Chan Park, Seung‐Jae Lee, Gyu‐Tae Kim, Bang-Wook Lee · 2024 · IEEE Access
- Effectiveness of Data Imbalance Treatment in Weather-Related Crash Severity AnalysisAbimbola Ogungbire, Srinivas S. Pulugurtha · 2024 · Transportation Research Record Journal of the Transportation Research Board
- XMID-MQTT: explaining machine learning-based intrusion detection system for MQTT protocol in IoT environmentHayette Zeghida, Mehdi Boulaiche, Ramdane Chikh, Ahmed Moosajee Patel, Ana Luiza Barros, Alwi M. Bamhdi · 2025 · International Journal of Information Security
- Improving the robustness of industrial Cyber–Physical Systems through machine learning-based performance anomaly identificationUraz Odyurt, Andy D. Pimentel, Ignacio González Alonso · 2022 · Journal of Systems Architecture
- An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)Karim Kassem, Michela Sperti, Andrea Cavallo, Andrea Mario Vergani, Davide Fassino, Monica Moz, Alessandro Liscio, Riccardo Banali, Fried-Michael Dahlweid, Luciano Benetti et al. · 2024 · Artificial Intelligence in Medicine
- Integrating explainable artificial intelligence and light gradient boosting machine for glioma gradingTeuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi · 2024 · Informatics and Health
- Ten Topics to Get Started in Medical Informatics ResearchMarkus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian-C. Jung, Dagmar Krefting, Andreas Kühn, Yuan Peng, Ines Reinecke et al. · 2023 · Journal of Medical Internet Research
- Practitioners’ expectations on log anomaly detectionMa, Xiaoxue, Li, Yishu, Keung, Jacky, Yu, Xiao, Zou, Huiqi, Yang, Zhen, Sarro, Federica, Barr, Earl T. · 2025 · IEEE Transactions on Software Engineering
- Machine learning and deep learning in clinical practice: Advancing neurodegenerative disease diagnosis with multimodal markersOmid Zarei, Maryam Talebi moghaddam, Sadegh Moradi Vastegani · 2025 · Brain Research Bulletin
- Moving Toward Explainable Decisions of Artificial Intelligence Models for the Prediction of Functional Outcomes of Ischemic Stroke PatientsEsra Zihni, Bryony L. McGarry, John D. Kelleher · 2021 · Exon Publications eBooks
- Decoding the Black Box: A Comprehensive Review of Explainable Artificial IntelligenceOssama H. Embarak · 2023 · International Conference on Information Technology Trends (ITT)
- Computational complexity in explainable decision support system: A reviewIjeoma Noella Ezeji, Matthew Olusegun Adigun, Olukayode Ayodele Oki · 2024 · Journal of Intelligent & Fuzzy Systems
- Explaining deep learning-based leaf disease identificationAnkit Rajpal, Rashmi Mishra, Sheetal Rajpal, Kavita Kavita, Varnika Bhatia, Naveen Kumar V · 2024 · Soft Computing
- In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient recordsRajeev Bopche, L. Gustad, J. Afset, Birgitta Ehrnström, J. Damås, Øystein Nytrø · 2024 · JAMIA Open
- Federated Learning in Multimodal Healthcare Diagnostics: Privacy-Preserving AI for Biomedical Imaging, Electronic Health Records, Wearables, and Clinical Decision SupportShon G. Nemane, Vaishnavi M. Sarad, Dhiraj P. Tulaskar, Tejrao Panjabrao Marode, Vikas K. Bhangdiya, Lalit Agrawal, Ankita Avthankar, Haridimos Kondylakis, Madhusudan B. Kulkarni, Manish L. Bhaiyya et al. · 2026 · Archives of Computational Methods in Engineering
- A Synergic Approach of Deep Learning towards Digital Additive Manufacturing: A ReviewAyush Pratap, Neha Sardana, Sapdo Utomo, John Ayeelyan, Periyasami Karthikeyan, Pao‐Ann Hsiung · 2022 · Algorithms
- L’intelligence artificielle peut-elle être une innovation responsable ?Louis Vuarin, Pedro Gomes Lopes, David Massé · 2023 · Innovations
- Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter studyVíctor López‐López, Zeniche Morise, Mariano Albaladejo‐González, Concepción Gómez‐Gavara, Brian K. P. Goh, Ye Xin Koh, Jasper P. Sijberden, Mohammad Abu Hilal, Kohei Mishima, Jaime Arthur Pirola Krüger et al. · 2024 · Surgical Endoscopy
- MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification ModelsGrace Guo, Lifu Deng, Animesh A Tandon, Alex Endert, Bum Chul Kwon · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive surveyM. U. Sreeja, Abin Oommen Philip, M. H. Supriya · 2024 · Journal of King Saud University - Computer and Information Sciences
- Explainable AI model for predicting equivalent viscous damping in dual frame–wall resilient systemChuandong Xie, Jinwei Hu, George Vasdravellis, Xiantie Wang, Sibo Lucas Cheng · 2024 · Journal of Building Engineering
- Tell me more, tell me more: the impact of explanations on learning from feedback provided by Artificial IntelligenceMaximilian Förster, Hanna Rebecca Broder, Marie Christine Fahr, Mathias Klier, Lior Fink · 2024 · European Journal of Information Systems
- Novel machine learning applications in peripartum care: a scoping reviewShani Steinberg, Melissa Wong, Eyal Zimlichman, Abraham Tsur · 2025 · American Journal of Obstetrics & Gynecology MFM