International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Role Of Explainable AI In Diagnostics System

Author(s) SHREYA GAUTAM WAGHMARE
Country India
Abstract Explainable Artificial Intelligence (XAI) is becoming increasingly critical in diagnostic systems, particularly in healthcare, where transparency and trust are paramount. XAI aims to make AI systems more interpretable by providing clear insights into how decisions are made, improving trustworthiness and regulatory compliance in medical diagnostics. This paper explores the role of XAI in diagnostic systems, outlining key methodologies, current applications, challenges, and potential future directions. Case studies are presented to demonstrate how explainable AI is integrated into diagnostic workflows, enhancing transparency and facilitating more informed decision-making by healthcare professionals.
Keywords Explainable AI (XAI), Healthcare Diagnostics, Medical Imaging, Trust in AI, Interpretability , Clinical Decision Support Systems (CDSS) , Deep Learning , Transparency
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-01
Cite This Role Of Explainable AI In Diagnostics System - SHREYA GAUTAM WAGHMARE - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28060
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.28060
Short DOI https://doi.org/g688vn

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