Bio-Cognitive Artificial Intelligence for Predictive Healthcare: A Next-Generation Decision Support Paradigm

Authors

  • Kamal Khan Author
  • Rofiq Uddin Author
  • Arifa Kanom Author
  • Jhon Kabir Author

DOI:

https://doi.org/10.61424/8m1ks764

Keywords:

Bio-Cognitive AI, Predictive Healthcare, Clinical Decision Support Systems, Explainable Artificial Intelligence, Precision Medicine.

Abstract

The growing complexity of healthcare data and the demand for accurate, timely clinical decision-making have driven the evolution of advanced artificial intelligence (AI) systems. This study introduces a bio-cognitive artificial intelligence (AI) framework for predictive healthcare, combining machine learning, deep learning, and cognitive reasoning to enhance decision support systems. The proposed approach addresses limitations of traditional AI models by integrating contextual awareness, interpretability, and adaptive learning capabilities. The performance evaluation, based on comparative analysis across different models, demonstrates that bio-cognitive AI significantly outperforms conventional machine learning and deep learning approaches in predictive accuracy. The model achieves superior results by incorporating domain knowledge and contextual reasoning, enabling it to better interpret complex healthcare data. Additionally, the study highlights a substantial reduction in diagnosis time when transitioning from manual and semi-automated systems to bio-cognitive AI-driven frameworks. This improvement enhances clinical efficiency and enables faster intervention in critical scenarios. Furthermore, the analysis of patient outcomes reveals that bio-cognitive AI systems contribute to higher recovery rates, improved early disease detection, and more effective treatment strategies. By leveraging continuous learning and real-time data integration, the system supports proactive and personalized healthcare, aligning with the principles of precision medicine. Despite these advantages, the study acknowledges challenges related to computational complexity, data privacy, and system integration. Nevertheless, the results demonstrate that bio-cognitive AI represents a transformative approach to healthcare analytics, providing a comprehensive solution for improving predictive accuracy, operational efficiency, and patient outcomes.

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Published

2025-12-15