Suchergebnisse - "algorithm explainability"

  1. 1

    A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases von Bayram, Bilal, Kunduracioglu, Ismail, Ince, Suat, Pacal, Ishak

    ISSN: 0306-4522, 1873-7544, 1873-7544
    Veröffentlicht: United States Elsevier Inc 05.03.2025
    Veröffentlicht in Neuroscience (05.03.2025)
    “… •Deep learning models improve MRI-based detection of brain stroke.•U-Net and Vision Transformers enhance diagnostic accuracy.•Data augmentation addresses …”
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    Journal Article
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    Explainable artificial intelligence for mental health through transparency and interpretability for understandability von Joyce, Dan W., Kormilitzin, Andrey, Smith, Katharine A., Cipriani, Andrea

    ISSN: 2398-6352, 2398-6352
    Veröffentlicht: London Nature Publishing Group UK 18.01.2023
    Veröffentlicht in NPJ digital medicine (18.01.2023)
    “… Given the differing usage and intended meaning of the term “explainability” in AI and ML, we propose instead to approximate model/algorithm explainability by understandability defined as a function of transparency and interpretability …”
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  3. 3

    Clinical Needs Assessment of a Machine Learning–Based Asthma Management Tool: User-Centered Design Approach von Zheng, Lu, Ohde, Joshua W, Overgaard, Shauna M, Brereton, Tracey A, Jose, Kristelle, Wi, Chung-Il, Peterson, Kevin J, Juhn, Young J

    ISSN: 2561-326X, 2561-326X
    Veröffentlicht: Canada JMIR Publications 15.01.2024
    Veröffentlicht in JMIR formative research (15.01.2024)
    “… ) identify user requirements to improve algorithm explainability …”
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  4. 4

    Explainable AI for wearable seizure logging: Impact of data quality, patient age, and antiseizure medication on performance von Halimeh, Mustafa, Jackson, Michele, Vieluf, Solveig, Loddenkemper, Tobias, Meisel, Christian

    ISSN: 1532-2688, 1532-2688
    Veröffentlicht: England 01.08.2023
    Veröffentlicht in Seizure (London, England) (01.08.2023)
    “… Objective seizure count estimates are crucial for ambulatory epilepsy management. Wearables have shown promise for the detection of tonic-clonic seizures but …”
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    Towards human-AI collaboration in radiology: a multidimensional evaluation of the acceptability of AI for chest radiograph analysis in supporting pulmonary tuberculosis diagnosis von Hua, David, Petrina, Neysa, Sacks, Alan J, Young, Noel, Cho, Jin-Gun, Smith, Ross, Poon, Simon K

    ISSN: 2574-2531, 2574-2531
    Veröffentlicht: United States Oxford University Press 01.02.2025
    Veröffentlicht in JAMIA open (01.02.2025)
    “… Objective Artificial intelligence (AI) technology promises to be a powerful tool in addressing the global health challenges posed by tuberculosis (TB) …”
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    Explainable artificial intelligence for investigating the effect of lifestyle factors on obesity von Khater, Tarek, Tawfik, Hissam, Singh, Balbir

    ISSN: 2667-3053, 2667-3053
    Veröffentlicht: Elsevier Ltd 01.09.2024
    Veröffentlicht in Intelligent systems with applications (01.09.2024)
    “… Our best-performing machine learning model, free from BMI parameters, achieved 86.5% accuracy using the Random Forest algorithm …”
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  7. 7

    Algorithms That Can Deny Care, and a Call for AI Explainability von Talia, Domenico, Talia, Domenico

    ISSN: 0018-9162, 1558-0814
    Veröffentlicht: New York IEEE 01.07.2024
    Veröffentlicht in Computer (Long Beach, Calif.) (01.07.2024)
    “… These cases highlight the need for algorithm explainability to help us better understand how artificial intelligence works in solving problems so we can …”
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  8. 8

    A machine learning and explainability-driven methodology for identifying winning strategies in Rugby Union von Odet, Arnaud, Bechard, Thomas, Moretto, Pierre, Dejean, Sebastien, Pasquaretta, Cristian

    ISSN: 2772-6622, 2772-6622
    Veröffentlicht: Elsevier Inc 01.06.2025
    Veröffentlicht in Decision analytics journal (01.06.2025)
    “… We propose a methodology that combines machine learning and algorithm explainability techniques, which were demonstrated through a case study on Rugby Union …”
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  9. 9

    MicroRNA signature for interpretable breast cancer classification with subtype clue von Andreini, Paolo, Bonechi, Simone, Bianchini, Monica, Geraci, Filippo

    ISSN: 2772-4158, 2772-4158
    Veröffentlicht: Elsevier B.V 01.06.2022
    “… MicroRNAs (miRNAs) are short non-coding RNAs engaged in cellular regulation by suppressing genes at their post-transcriptional stage. Evidence of their …”
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    Explainable AI for Early Detection of Health Changes Via Streaming Clustering von Wu, Wenlong, Keller, James M., Skubic, Marjorie, Popescu, Mihail

    ISSN: 1558-4739
    Veröffentlicht: IEEE 18.07.2022
    “… ) for early detection of health change to provide algorithm explainability for the results. Four approaches are discussed to explain either the cluster differences or the reason for the algorithm warnings …”
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    Tagungsbericht
  11. 11

    The Role of Artificial Intelligence in the Hematology Department von Bahyat, Kaoutar, Ammour, Abdeslam, Cheddadi, Mehdi, Fedorova, Victoria, Houari, Mouna

    ISSN: 2347-9507, 2347-6559
    Veröffentlicht: 02.09.2025
    Veröffentlicht in Scholars Journal of Medical Case Reports (02.09.2025)
    “… Artificial intelligence (AI) has emerged as a revolutionary tool in hematology, capable of analyzing, interpreting, and integrating complex biological, …”
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  12. 12

    Abstract 048: Innovations and Challenges in Automated Large Vessel Occlusion Detection: A Critical Review von Elsayed, M. M, Sorour, M, Elbakrawy, M, Khabiry, H, Elmetwally, A, Abouzaid, M, Mohamed, A, Ahmed, K, Ali, N, Elaraby, Y, Abouelseoud, M, Koroush, M, Abdelsalhin, A, Ibrahim, M.‐A, Hussein, M

    ISSN: 2694-5746, 2694-5746
    Veröffentlicht: Phoenix Wiley Subscription Services, Inc 01.11.2025
    Veröffentlicht in Stroke: vascular and interventional neurology (01.11.2025)
    “… Introduction The rapid and accurate detection of large vessel occlusion (LVO) is paramount for optimizing outcomes in acute ischemic stroke, yet significant …”
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  13. 13

    Securing Cloud-Based Financial Systems with AI-Powered Predictive Analytics von Ruthvik Uppaluri

    ISSN: 2456-3307, 2456-3307
    Veröffentlicht: 10.02.2025
    “… ; data privacy and ethical issues, as well as algorithm explainability. The study calls for increased partnership between stakeholders to find ways of addressing these problems and to develop …”
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    Machine Learning Based Flow Regime Identification using Ultrasonic Doppler Data and Feature Relevance Determination von Roxas  II, Ricardo, Evangelista, Matthew Angelo, Sombillo, Jalen Aeron, Nnabuife, Somtochukwu Godfrey, Pilario, Karl Ezra

    ISSN: 2772-5081, 2772-5081
    Veröffentlicht: Elsevier Ltd 01.06.2022
    Veröffentlicht in Digital Chemical Engineering (01.06.2022)
    “… •Anisotropic Kernel PCA feature extraction was optimized with genetic algorithm.•Explainability is improved by revealing the most significant input features and visualizing results as virtual flow regime maps …”
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    Exploiting Interdisciplinary Research Design for Temporally Complex Big Data: Discussion of a Case‐Study Using on Heterogenous Bibliographic Big Data von Mabry Patricia, L., Brian, Martinson, Thomas, Valente, Liu, Xiaozhong

    ISSN: 2373-9231, 2373-9231
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.10.2022
    “… ‐driven approaches, AI trustworthiness, model fairness, algorithm explainability and AI adoption/usability …”
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  17. 17

    AXAI-CDSS: An Affective Explainable AI-Driven Clinical Decision Support System for Cannabis Use von Zhang, Tongze, Chung, Tammy, Dey, Anind, Bae, Sang Won

    Veröffentlicht: IEEE 21.04.2025
    “… ). To address this issue, this paper enhances algorithm explainability underlying CDSS by integrating multiple Explainable Artificial Intelligence (XAI …”
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  18. 18

    Application and Evaluation of Brain Age Algorithms in Bipolar Disorder von Ng, Hui Xin

    ISBN: 9798293888702
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2025
    “… ) limited algorithm explainability especially when deep learning approaches are applied, iii …”
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    Dissertation
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    O PAPEL DA INTELIGÊNCIA ARTIFICIAL NA MEDICINA DE URGÊNCIA E EMERGÊNCIA von Capelo, Raul Lima

    ISSN: 2177-2789, 2177-2789
    Veröffentlicht: 20.01.2025
    Veröffentlicht in Lumen et virtus (20.01.2025)
    “… A inteligência artificial vem se consolidando como um dos principais vetores de transformação da saúde, especialmente na medicina de urgência e emergência, em …”
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    A Critical Review of Inductive Logic Programming Techniques for Explainable AI von Zhang, Zheng, Yilmaz, Levent, Liu, Bo

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: United States IEEE 01.08.2024
    “… To instill confidence and trust in artificial intelligence (AI) systems, explainable AI (XAI) has emerged as a response to improve modern machine learning algorithms' explainability …”
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