Integrating Biological Sciences with Artificial Intelligence for Biomedical Imaging and Data Analysis
Keywords:
Artificial Intelligence, Biomedical Imaging, Machine Learning, Bioinformatics, Data Analysis, Neural Networks, Deep Learning, Medical DiagnosticsAbstract
Artificial Intelligence (AI) has emerged as a transformative tool in the biomedical domain, particularly in imaging and data analysis. The integration of biological sciences with AI has enabled breakthroughs in medical diagnostics, personalized medicine, and image-guided therapy. This paper presents a concise overview of how AI enhances biomedical imaging and data interpretation through advanced machine learning models and computational frameworks. The study emphasizes progress and provides visual illustrations and references to support the convergence of AI with biological sciences. Emphasis is placed on the synergistic potential of cross-disciplinary integration and the methodological evolution that enables accurate, scalable, and real-time biological data analysis.
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Copyright (c) 2023 Sebastian Jamane (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
