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@article{174376,
        author = {Zahid Ahmad Thokar and Fahmia Feroz},
        title = {A STUDY ON ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN PATHOLOGY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3658-3663},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174376},
        abstract = {The incorporation of Artificial Intelligence (AI) into pathology has engendered a transformative era, revolutionizing diagnostic fidelity, morphometric analysis, and prognostic discernment. AI-driven computational paradigms, including convolutional neural networks, generative adversarial networks, and federated learning, have redefined histomorphological evaluation through autonomous feature extraction, anomaly stratification, and deep phenotyping. This study expounds on the disruptive potential of AI in diagnostic pathology, highlighting its applications in virtual staining, multiplexed tissue analytics, and real-time prognostic modeling. The deployment of AI has facilitated unparalleled precision in pattern recognition, mitigated interobserver variability, and optimized interpretative latency. However, intrinsic challenges such as dataset paucity, model generalizability, and ethical jurisprudence necessitate robust regulatory frameworks. This research endeavors to elucidate AI’s avant-garde contributions to pathology, underscoring its potential to transcend conventional heuristics and fortify precision medicine.},
        keywords = {Convolutional Neural Networks, Morphometric Analysis, Deep Phenotyping, Virtual Staining, Federated Learning, Algorithmic Interpretability, Ethical Jurisprudence},
        month = {March},
        }