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  1. Home /
  2. Medical Diagnostics

Medical Diagnostics

7 Items

All Items

  • Toward Improved ICU Care - Phlebotomy Frequency Using Deep Learning

    Toward Improved ICU Care - Phlebotomy Frequency Using Deep Learning

    Rola Al Mallah, Alejandro Quintero (Author)
    1-9
  • Multi-Phase CNN-ViT-Wavelet Fusion with Attention for Robust Kidney Stone Detection from Ultrasound Images

    Multi-Phase CNN-ViT-Wavelet Fusion with Attention for Robust Kidney Stone Detection from Ultrasound Images

    Faizan Ahmad, Uzair Ishtiaq, Malik M. Ali Shahid (Author)
    85-105
  • Machine Learning Pipeline Integrating Real-time Multimodal Biosignal Sensor Data for Early Detection of Postpartum Hemorrhage

    Machine Learning Pipeline Integrating Real-time Multimodal Biosignal Sensor Data for Early Detection of Postpartum Hemorrhage

    Yanishka Gahlot, Said Baadel (Author)
    106-114
  • Interpretable Deep Learning for Breast Lesion Classification: A SHAP-Based Comparison of CESM and Digital Mammography

    Samara Acosta-Jiménez, Miguel M. Mendoza-Mendoza, Carlos E. Galván-Tejada, Celaya-Padilla, J. Rubén Delgado-Contreras, Jorge I. Galván-Tejada (Author)
    10-28
  • Inaugural Editorial of the Inspire Intelligence First Issue Publication

    Inaugural Editorial of the Inspire Intelligence First Issue Publication

    Ghazanfar Latif (Author)
    68-71
  • Enhancing Diabetes Prediction through Ensemble Machine Learning Models on Survey-Based and Clinical Data

    Enhancing Diabetes Prediction through Ensemble Machine Learning Models on Survey-Based and Clinical Data

    Prachi Patel (Author)
    42-51
  • Artificial Intelligence to Super Intelligence:  Semantics, Science, or Strategy?

    Artificial Intelligence to Super Intelligence: Semantics, Science, or Strategy?

    Ghazanfar Latif (Author)
    128-138

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Inspire Intelligence Journal is a premier open-access, peer-reviewed publication dedicated to advancing the field of Artificial Intelligence. We welcome cutting-edge research, reviews, and innovative applications across all domains of AI, including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Robotics, and Ethical AI. Our mission is to inspire innovation, foster interdisciplinary collaboration, and serve as a global platform for researchers, practitioners, and policymakers driving the intelligent future.

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