Ushbu ishga iqtibos qilgan ishlar

7 ta ish

Ish: The false hope of current approaches to explainable artificial intelligence in health care

1. YOLOv5 Meets ISOA: A Bio-Inspired Optimization Framework for Fall Detection and Localization

   Priya Nandihal, Maqsadbek Babajanov, Sunil Kumar +1

   MaqolaContext-Aware Activity Recognition Systems20254 iqtibos

   ABIABI:AkademIndex/2025.article.001143

2. Intelligent Medical Decision-Making Through Artificial Intelligence, Predictive Modeling, and Advanced Healthcare Analytics

   Lukas Lukas, Fermin G. Castillo, Benjamín Roldán Polo Escobar +3

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.mb31j2t8

3. Deep Learning in Radiology: Challenges and Opportunities for Improved Diagnosis

   Farida Rasuli

   MaqolaRadiomics and Machine Learning in Medical Imaging20250 iqtibos

   ABIABI:AkademIndex/2025.article.006412

4. Intelligent Symptom-to-Medicine Mapping using MAGRU-IDMO: An Attention-GRU Framework with Bio-Inspired Optimization

   Sandeep Reddy Gantla, Shakhlokhon Kurbanova, Priya Nandihal +1

   MaqolaMachine Learning in Healthcare20250 iqtibos

   ABIABI:AkademIndex/2025.article.008365

5. Explainable Machine Learning Models for Robust Clinical Biomarker Identification

   I. Arivazhagi, Shobha K., Deepak Gupta +3

   MaqolaExplainable Artificial Intelligence (XAI)20250 iqtibos

   ABIABI:AkademIndex/2025.article.018761

6. A conceptual explainable multi-modal breast cancer intelligence framework with feasibility analysis, computational characterisation, and clinical translation roadmap

   Ahmed Kateb Jumaah Al-Nussairi, Mohammed Kadhim Rahma, Ahmed Shakir Al‐Hiti +5

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.051155

7. Deep learning for brain tumour segmentation on MRI with focus on robustness uncertainty and clinical translation

   Behnam Kiani Kalejahi, Mohammad Javad Rajabi

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.064826